@prefix schema: <http://schema.org/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
@prefix dbr: <http://dbpedia.org/resource/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix : <https://gemini.google.com/share/e37d9615f322#> .

:survey_entry_0 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:10:58.471"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :e463e1f86e6e9b2a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Manager / Director / VP""" ;
    :orgsize """< 50 employees""" ;
    :industry """Tech""" ;
    :teamfocus """Data quality / reliability, Analytics / BI""" ;
    :storageenvironment """Cloud PostgreSQL/MySQL""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Architecture patterns""" ;
    :region """United States / Canada""" .

:survey_entry_1 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:14:58.545"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :0a29d734683d202c ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Data Architect""" ;
    :orgsize """< 50 employees""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI""" ;
    :storageenvironment """Mixed/hybrid""" ;
    :orchestration """As a consultant - entirely depends on the client """ ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Architecture design""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """None? Depends on the client """ ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """The fundamentals.""" ;
    :region """United States / Canada""" .

:survey_entry_2 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:27:56.242"^^xsd:dateTime ;
    schema:industry :1de0a12347096956 ;
    schema:jobTitle :0a29d734683d202c ;
    dbo:sic <https://www.osha.gov/sic-manual/8221#this> ;
    dbo:naics <https://www.census.gov/naics/?input=611310&year=2022&details=611310#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Architect""" ;
    :orgsize """200–999""" ;
    :industry """Public sector / Education""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Weekly""" ;
    :aihelpswith """Documentation / data discovery""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Architecture patterns""" ;
    :industrywish """Data Ownership is the foundation of everything""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_3 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:28:09.813"^^xsd:dateTime ;
    schema:industry :4bb6b41ba1c405c7 ;
    schema:jobTitle :42ebff4396ce4af4 ;
    dbo:sic <https://www.osha.gov/sic-manual/3999#this> ;
    dbo:naics <https://www.census.gov/naics/?input=339999&year=2022&details=339999#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Platform Engineer""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Manufacturing / Industrial""" ;
    :teamfocus """Ingestion / pipelines, Infrastructure / platform work""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Dagster""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Ad-hoc / tables added as needed""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Not sure""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

:survey_entry_4 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:28:11.896"^^xsd:dateTime ;
    schema:industry :1de0a12347096956 ;
    schema:jobTitle :0a29d734683d202c ;
    dbo:sic <https://www.osha.gov/sic-manual/8221#this> ;
    dbo:naics <https://www.census.gov/naics/?input=611310&year=2022&details=611310#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Data Architect""" ;
    :orgsize """10,000+""" ;
    :industry """Public sector / Education""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability, Infrastructure / platform work, ML / AI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Architecture design""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Tools don’t support good modeling""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

:survey_entry_5 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:28:57.269"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :49f5c3a0a8a3785a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Analytics Engineer""" ;
    :orgsize """200–999""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Canonical/semantic models""" ;
    :modelingpainpoints """Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Data modeling""" ;
    :region """United States / Canada""" .

:survey_entry_6 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:28:59.203"^^xsd:dateTime ;
    schema:industry :b696d75511dc16f2 ;
    schema:jobTitle :0b0f5a71e34ea0fe ;
    dbo:sic <https://www.osha.gov/sic-manual/6021#this> ;
    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Asia_Pacific ;
    :role """BI Engineer""" ;
    :orgsize """10,000+""" ;
    :industry """Finance""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability, Analytics / BI""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Weekly""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Governance / quality checks""" ;
    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Canonical/semantic models""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Data quality""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Data modeling""" ;
    :industrywish """It is very diverse and not generic at all """ ;
    :region """Asia–Pacific""" .

:survey_entry_7 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:29:09.271"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :49f5c3a0a8a3785a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Latin_America ;
    :role """Analytics Engineer""" ;
    :orgsize """200–999""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery, Data modeling""" ;
    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Not sure""" ;
    :educationtopic """Data modeling""" ;
    :region """Latin America""" .

:survey_entry_8 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:30:02.255"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :e463e1f86e6e9b2a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Manager / Director / VP""" ;
    :orgsize """< 50 employees""" ;
    :industry """Tech""" ;
    :teamfocus """Infrastructure / platform work, ML / AI""" ;
    :storageenvironment """On-prem data lake / lakehouse""" ;
    :orchestration """Kubeflow (open for alternatives)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Ad-hoc / tables added as needed""" ;
    :modelingpainpoints """Lack of clear ownership""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """It shouldn't be an afterthought""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_9 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:31:48.878"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :ebcb746306074cb6 ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Data Engineer""" ;
    :orgsize """50–199""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Fighting fires""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Dagster""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Documentation / data discovery, Architecture design""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Hard to maintain over time, Tools don’t support good modeling, Pressure to “move fast”, AI tools produce inconsistent schemas""" ;
    :architecturetrend """Event-driven architecture feeding into a centralized warehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """Data modeling is not the same thing as a pipeline""" ;
    :region """United States / Canada""" .

:survey_entry_10 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:33:37.260"^^xsd:dateTime ;
    schema:industry :b696d75511dc16f2 ;
    schema:jobTitle :3a099db895d07b00 ;
    dbo:sic <https://www.osha.gov/sic-manual/6021#this> ;
    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1211.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Team of 1""" ;
    :orgsize """< 50 employees""" ;
    :industry """Finance""" ;
    :teamfocus """Data quality / reliability, Infrastructure / platform work""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Git Hub Actions""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

:survey_entry_11 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:34:04.857"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :0a29d734683d202c ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Architect""" ;
    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Documentation / data discovery, Data modeling""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Tools don’t support good modeling, Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_12 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:36:22.627"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :49f5c3a0a8a3785a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Analytics Engineer""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Tech""" ;
    :teamfocus """Analytics / BI, Fighting fires""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_13 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:37:11.828"^^xsd:dateTime ;
    schema:industry :b696d75511dc16f2 ;
    schema:jobTitle :0a29d734683d202c ;
    dbo:sic <https://www.osha.gov/sic-manual/6021#this> ;
    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Architect""" ;
    :orgsize """200–999""" ;
    :industry """Finance""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc)""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Cost cutting, not enough hands """ ;
    :teamgrowth2026 """Not sure""" ;
    :educationtopic """AI/LLM integration""" ;
    :industrywish """Data is like water, it flows. But if not controlled it will pop up/show unexpectedly (because business is also like water, it always finds its way) multiplying operational costs and risks.""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_14 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:38:27.592"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :e463e1f86e6e9b2a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Manager / Director / VP""" ;
    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Data quality / reliability, ML / AI, Fighting fires""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Tools don’t support good modeling, Pressure to “move fast”, AI tools produce inconsistent schemas""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Architecture patterns""" ;
    :industrywish """1. DE for AI requires a different way of thinking (and then building). 
2. DEs can no longer work in isolation. They need to work with their upstream and downstream partners. Great DEs always knew this, but many still operate as if they are some engineer who doesn’t need to care about what happens either side of their work.""" ;
    :region """United States / Canada""" .

:survey_entry_15 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:38:39.067"^^xsd:dateTime ;
    schema:industry :4bb6b41ba1c405c7 ;
    schema:jobTitle :ebcb746306074cb6 ;
    dbo:sic <https://www.osha.gov/sic-manual/3999#this> ;
    dbo:naics <https://www.census.gov/naics/?input=339999&year=2022&details=339999#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Latin_America ;
    :role """Data Engineer""" ;
    :orgsize """50–199""" ;
    :industry """Manufacturing / Industrial""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation""" ;
    :storageenvironment """Cloud PostgreSQL/MySQL""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Career growth / leadership""" ;
    :industrywish """that thing you said about data modeling as a program, not a project""" ;
    :region """Latin America""" .

:survey_entry_16 a schema:SurveyResponse ;
    schema:dateCreated "2025-12-02T10:38:55.540"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :49f5c3a0a8a3785a ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Analytics Engineer""" ;
    :orgsize """50–199""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Architecture design""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Pressure to “move fast”, AI tools produce inconsistent schemas""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Grow""" ;
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    :orgsize """1,000–10,000""" ;
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    :orchestration """Airflow""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery, Governance / quality checks""" ;
    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Canonical/semantic models""" ;
    :modelingpainpoints """Pressure to “move fast”""" ;
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    :teamgrowth2026 """Stay the same""" ;
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    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
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    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery, Architecture design, Governance / quality checks""" ;
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    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """Data Engineering is not Software Engineering """ ;
    :region """United States / Canada""" .

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    schema:spatialCoverage dbr:Australia_New_Zealand ;
    :role """Operational system designer, which doesnt seem to be a real job.""" ;
    :orgsize """< 50 employees""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """SQLServer""" ;
    :orchestration """The system itself""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc)""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Bloody brilliant""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Ontology native convergence""" ;
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    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """That data engineering is a very young discipline and its time to throw away the 25 year old prototypes and to start thinking like an engineer. With data, the sequel. """ ;
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    :aiusagefrequency """Multiple times per day""" ;
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    :industrywish """That different use cases of data mean different models and tools, and that data can change over time over it's lifecycle, and that is fine. Not every data set will go through the same tools (ie a source of truth is not a system, it's a determined state in a lifecycle, which might be implemented in a different tool depending on the data) ie sometimes the correct truth source is Kafka, sometimes it's the warehouse.""" ;
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    :orgsize """1,000–10,000""" ;
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    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
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    :modelingapproach """Kimball-style dimensional modeling""" ;
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    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
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    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging""" ;
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    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """None / modeling is going well""" ;
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    :teamgrowth2026 """Stay the same""" ;
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    :industrywish """It’s essential for data insights from AI to BI""" ;
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    :orgsize """1,000–10,000""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data quality / reliability""" ;
    :storageenvironment """Mixed/hybrid""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Weekly""" ;
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    :aiadoption """Building internal AI platforms""" ;
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    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """You need an \"any other comments\" question: suggesting the \"Which Industry\" should be multi-choice?""" ;
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    :industry """Manufacturing / Industrial""" ;
    :teamfocus """Infrastructure / platform work""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery, Architecture design""" ;
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    :modelingapproach """Kimball-style dimensional modeling""" ;
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    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Data modeling""" ;
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    :industry """Tech""" ;
    :teamfocus """Data quality / reliability, Analytics / BI""" ;
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    :aiusagefrequency """Multiple times per day""" ;
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    :teamgrowth2026 """Grow""" ;
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    :educationtopic """Reliability engineering""" ;
    :industrywish """Layered design rather than marketing driven design""" ;
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    :teamfocus """Ingestion / pipelines, Data modeling / transformation""" ;
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    :educationtopic """Career growth / leadership""" ;
    :industrywish """It’s an investment that will pay off if you do it well from inception and continue to do it well, without rushing it.""" ;
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    :educationtopic """AI/LLM integration""" ;
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    :orchestration """Prefect""" ;
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    :biggestbottleneck """Legacy / technical debt""" ;
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    :teamgrowth2026 """Stay the same""" ;
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    :industrywish """how foundational and important it is for the rest. give proper visibility to DE""" ;
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    :storageenvironment """On-prem data warehouse""" ;
    :orchestration """SQL server Agent""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Architecture patterns""" ;
    :region """United States / Canada""" .

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    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Data Vault""" ;
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    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Streaming / event-driven systems""" ;
    :region """United States / Canada""" .

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    dbo:naics <https://www.census.gov/naics/?input=621111&year=2022&details=621111#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1252.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Software Engineer working on data""" ;
    :orgsize """200–999""" ;
    :industry """Healthcare""" ;
    :teamfocus """Data modeling / transformation""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Prefect""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Documentation / data discovery, Governance / quality checks""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Compute costs""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
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    :orgsize """50–199""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation""" ;
    :storageenvironment """On-prem data warehouse""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """No meaningful adoption yet""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Lack of clear ownership, Tools don’t support good modeling""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Compute costs""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """AI/LLM integration""" ;
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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Manager / Director / VP""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Weekly""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Event-driven modeling""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Tools don’t support good modeling, Pressure to “move fast”""" ;
    :architecturetrend """Event-driven architecture""" ;
    :biggestbottleneck """Data quality""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """Europe (EU / UK)""" .

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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Analytics Engineer""" ;
    :orgsize """< 50 employees""" ;
    :industry """Healthcare""" ;
    :teamfocus """Data quality / reliability, Analytics / BI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Documentation / data discovery, Governance / quality checks""" ;
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    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

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    :teamgrowth2026 """Grow""" ;
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    :industrywish """The majority of data issues start at the source, until there is accountability in the teams generating the data there will always be a need for highly skilled data engineers to create customized transformation pipelines. """ ;
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    :orgsize """< 50 employees""" ;
    :industry """Finance""" ;
    :teamfocus """Data quality / reliability""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc)""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Canonical/semantic models""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Event-driven architecture""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
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    :biggestbottleneck """Talent / hiring""" ;
    :teamgrowth2026 """Grow""" ;
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    :industry """Finance""" ;
    :teamfocus """Data quality / reliability""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc)""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Global vs local initiatives, sheer size of teams, aligning best practIces etc etc. List is long… """ ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """ALL of the above? I handle multiple teams, plus global initiatives, so hard to frame some of my answers here.""" ;
    :industrywish """Data in movement vs data at rest, that we have to handle that duality""" ;
    :region """Europe (EU / UK)""" .

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    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """GitHub Actions FTW""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
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    :architecturetrend """Data mesh / federated ownership""" ;
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    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Reliability engineering""" ;
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    :role """Data Engineer""" ;
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By the way, we've been using surveyswap.io to get respondents. You fill in surveys and get responses back. Perhaps it's also helpful to you. Anyway, good luck!""" ;
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    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Engineer""" ;
    :orgsize """50–199""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation""" ;
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    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
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    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Documentation / data discovery, Data modeling""" ;
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    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """None / modeling is going well""" ;
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    :teamgrowth2026 """Grow""" ;
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    :role """Platform Engineer""" ;
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    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Career growth / leadership""" ;
    :industrywish """I wish the wider industry understand how good data engineering enhances AI/ML.""" ;
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    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
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    :teamgrowth2026 """Stay the same""" ;
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    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Infrastructure / platform work""" ;
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    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
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    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Data modeling""" ;
    :industrywish """Data Contracts""" ;
    :region """United States / Canada""" .

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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
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    :role """Analytics Engineer""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Finance""" ;
    :teamfocus """Data modeling / transformation, ML / AI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Cloud scheduler, but will use dagster soon""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Architecture design""" ;
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    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """I am in martech team. Bottleneck is waiting for data team to ingest data for us""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Architecture patterns""" ;
    :industrywish """That we need developers and other people to care about data quality for data if we are going to have data as a competetive advantage.""" ;
    :region """Europe (EU / UK)""" .

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    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Fighting fires""" ;
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    :teamgrowth2026 """Not sure""" ;
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    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
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    :biggestbottleneck """Data quality""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """AI/LLM integration""" ;
    :industrywish """That the core to having good models and Gen Ai use case is still having robust , scalable and quality base data.""" ;
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    :industrywish """Quality and simplicity are king. """ ;
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    :teamgrowth2026 """Stay the same""" ;
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    :role """Data Engineer""" ;
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    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
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    :industrywish """That a tactical solution that uses a Kimball approach and a strategic solution that uses an Inmon approach will require a lot of time to reconcile. Lots of organisations fail to reconcile what should be global and local which ends with a messy glocal outcome which helps nobody.""" ;
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That data engineering isn't about the tools, it's about understanding the business problems you're solving.

Said differently, because I always seem to need more words than the average bear. 
For effen sakes, stop chasing every new framework in the modern data stack. Tools come and go, but the core principles don't change. 

....And just because you never learned them or forgot they exist, doesn't mean we don't know what they are. Look it up or ask someone to point you to those who do and just listen and learn.""" ;
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    schema:spatialCoverage dbr:Europe_EU_UK ;
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    :orchestration """AWS EventBridge Scheduler, Cron""" ;
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    :role """Manager / Director / VP""" ;
    :orgsize """50–199""" ;
    :industry """Healthcare""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Data Vault""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Career growth / leadership""" ;
    :region """United States / Canada""" .

:survey_entry_858 a schema:SurveyResponse ;
    schema:dateCreated "2026-01-02T10:58:15.648"^^xsd:dateTime ;
    schema:industry :4bb6b41ba1c405c7 ;
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    dbo:sic <https://www.osha.gov/sic-manual/3999#this> ;
    dbo:naics <https://www.census.gov/naics/?input=339999&year=2022&details=339999#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Engineer""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Manufacturing / Industrial""" ;
    :teamfocus """Analytics / BI, Fighting fires""" ;
    :storageenvironment """Mixed/hybrid""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Architecture design""" ;
    :aiadoption """No meaningful adoption yet""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Data modeling""" ;
    :region """Europe (EU / UK)""" .

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    schema:jobTitle :1e168d114d1d675c ;
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    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1211.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Business Intelligence Consultant""" ;
    :orgsize """50–199""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation, Analytics / BI, Fighting fires""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Data modeling, Architecture design""" ;
    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Compute costs""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """Europe (EU / UK)""" .

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    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Manager / Director / VP""" ;
    :orgsize """200–999""" ;
    :industry """Public sector / Education""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """No meaningful adoption yet""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Ambiguous ownership """ ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Career growth / leadership""" ;
    :region """United States / Canada""" .

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    schema:jobTitle :ebcb746306074cb6 ;
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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Data Engineer""" ;
    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI, Fighting fires""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """No orchestration / ad-hoc""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Documentation / data discovery""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Architecture patterns""" ;
    :region """United States / Canada""" .

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    schema:dateCreated "2026-01-02T11:03:14.431"^^xsd:dateTime ;
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    schema:jobTitle :ebcb746306074cb6 ;
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    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Asia_Pacific ;
    :role """Data Engineer""" ;
    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation, Data quality / reliability, Analytics / BI""" ;
    :storageenvironment """On-prem data warehouse""" ;
    :orchestration """UAC""" ;
    :aiusagefrequency """Rarely""" ;
    :aihelpswith """Writing Code (SQL, Python, etc)""" ;
    :aiadoption """No meaningful adoption yet""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Hard to maintain over time, Tools don’t support good modeling""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """AI/LLM integration""" ;
    :region """Asia–Pacific""" .

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    schema:dateCreated "2026-01-02T11:05:18.414"^^xsd:dateTime ;
    schema:industry :28ff34dcefbb5763 ;
    schema:jobTitle :ebcb746306074cb6 ;
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    dbo:naics <https://www.census.gov/naics/?input=454110&year=2022&details=454110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Engineer""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Retail/e-commerce""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Architecture design""" ;
    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Compute costs""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Streaming / event-driven systems""" ;
    :region """Europe (EU / UK)""" .

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    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Architect""" ;
    :orgsize """200–999""" ;
    :industry """Finance""" ;
    :teamfocus """Data modeling / transformation, Analytics / BI, Fighting fires""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Weekly""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Governance / quality checks""" ;
    :aiadoption """No meaningful adoption yet""" ;
    :modelingapproach """Ad-hoc / tables added as needed""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """Europe (EU / UK)""" .

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    schema:dateCreated "2026-01-02T11:13:47.326"^^xsd:dateTime ;
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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Manager / Director / VP""" ;
    :orgsize """10,000+""" ;
    :industry """Finance""" ;
    :teamfocus """Infrastructure / platform work, Fighting fires""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Documentation / data discovery, Architecture design, Governance / quality checks""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """One Big Table""" ;
    :modelingpainpoints """Hard to maintain over time, Tools don’t support good modeling""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Reliability engineering""" ;
    :region """United States / Canada""" .

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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Data Engineer""" ;
    :orgsize """< 50 employees""" ;
    :industry """Tech""" ;
    :teamfocus """Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Dagster""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Tools don’t support good modeling""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """we are consulting company, so all of the above can be found a each company.""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Architecture patterns""" ;
    :industrywish """That tools do not solve your issues.""" ;
    :region """United States / Canada""" .

:survey_entry_867 a schema:SurveyResponse ;
    schema:dateCreated "2026-01-02T11:26:28.737"^^xsd:dateTime ;
    schema:industry :1de0a12347096956 ;
    schema:jobTitle :e463e1f86e6e9b2a ;
    dbo:sic <https://www.osha.gov/sic-manual/8221#this> ;
    dbo:naics <https://www.census.gov/naics/?input=611310&year=2022&details=611310#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Manager / Director / VP""" ;
    :orgsize """50–199""" ;
    :industry """Public sector / Education""" ;
    :teamfocus """Data quality / reliability""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery, Data modeling, Architecture design""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Lack of clear ownership""" ;
    :architecturetrend """Event-driven architecture""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Reliability engineering""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_868 a schema:SurveyResponse ;
    schema:dateCreated "2026-01-02T11:34:48.491"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :9296c1068d95a0ef ;
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    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1252.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Software Engineer working on data""" ;
    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Data quality / reliability, Analytics / BI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Documentation / data discovery""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Ad-hoc / tables added as needed""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Compute costs""" ;
    :teamgrowth2026 """Not sure""" ;
    :educationtopic """Data Modeling, Streaming, Architecture, Carrer growth""" ;
    :industrywish """I’d like to see more people talking about foundations; more articles and talks about timeless tools. Also, see projects where those foundations were applied and complemented using AI. """ ;
    :region """Europe (EU / UK)""" .

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    schema:dateCreated "2026-01-02T11:43:34.322"^^xsd:dateTime ;
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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Engineer""" ;
    :orgsize """200–999""" ;
    :industry """Finance""" ;
    :teamfocus """Ingestion / pipelines, Infrastructure / platform work""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Dagster""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging""" ;
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    :modelingapproach """Kimball-style dimensional modeling""" ;
    :modelingpainpoints """Lack of clear ownership, Tools don’t support good modeling, Pressure to “move fast”""" ;
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    :biggestbottleneck """Talent / hiring""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Career growth / leadership""" ;
    :region """Europe (EU / UK)""" .

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    schema:dateCreated "2026-01-02T11:44:45.352"^^xsd:dateTime ;
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    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Manager / Director / VP""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Finance""" ;
    :teamfocus """Data modeling / transformation, Fighting fires""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Architecture design""" ;
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    :modelingapproach """One Big Table""" ;
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    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Reliability engineering""" ;
    :industrywish """Difference between analytics engineering and data engineering - specifically the combination of skillsets and outcomes. As an example, I see data (software) engineers hired to build dbt models and analytics (BI) engineers being hired to build bespoke ingestion patterns. """ ;
    :region """Europe (EU / UK)""" .

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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Manager / Director / VP""" ;
    :orgsize """< 50 employees""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data quality / reliability""" ;
    :storageenvironment """Cloud PostgreSQL/MySQL""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Documentation / data discovery, Data modeling, Architecture design, Governance / quality checks""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Hard to maintain over time, Tools don’t support good modeling""" ;
    :architecturetrend """Event-driven architecture""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

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    schema:jobTitle :0a29d734683d202c ;
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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Data Architect""" ;
    :orgsize """10,000+""" ;
    :industry """Finance""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation, Data quality / reliability, Fighting fires""" ;
    :storageenvironment """Mixed/hybrid""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Documentation / data discovery, Data modeling, Architecture design""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Data mesh / federated ownership""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Not sure""" ;
    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :region """United States / Canada""" .

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    schema:dateCreated "2026-01-02T11:51:38.197"^^xsd:dateTime ;
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    schema:jobTitle :e463e1f86e6e9b2a ;
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    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Manager / Director / VP""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Finance""" ;
    :teamfocus """Ingestion / pipelines, Fighting fires""" ;
    :storageenvironment """Lakehouse (Databricks, Iceberg/Hudi/Delta + compute engine)""" ;
    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Documentation / data discovery, Architecture design""" ;
    :aiadoption """Using AI for tactical tasks""" ;
    :modelingapproach """Ad-hoc / tables added as needed""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Shrink""" ;
    :educationtopic """Reliability engineering""" ;
    :industrywish """Data engineering directly support business goals, hence, it's crucial to build solid long term data strategy.""" ;
    :region """Europe (EU / UK)""" .

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    schema:dateCreated "2026-01-02T11:53:54.982"^^xsd:dateTime ;
    schema:industry :a64b892ff09a8da7 ;
    schema:jobTitle :0a29d734683d202c ;
    dbo:sic <https://www.osha.gov/sic-manual/8011#this> ;
    dbo:naics <https://www.census.gov/naics/?input=621111&year=2022&details=621111#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
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Also, current architects do not understand the basics of kappa and lambda architectures.

Stop thinking about AI is the solution, stop the hype and create stable sowtware that really works (stop thinking \"build that now, latter we will smash those bugs\" ignoring the technical debt in the mature stages)""" ;
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    :industrywish """It takes time to build good and reliable data systems """ ;
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    :industry """Tech""" ;
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    :modelingpainpoints """Lack of clear ownership, None / modeling is going well""" ;
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    :biggestbottleneck """Data quality""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """AI/LLM integration""" ;
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    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Asia_Pacific ;
    :role """Data Engineer""" ;
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    :industry """Manufacturing / Industrial""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation, Data quality / reliability, Infrastructure / platform work""" ;
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    :orchestration """Cloud-native (GCP Cloud Composer, AWS MWAA, etc.)""" ;
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    :architecturetrend """Lakehouse""" ;
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    :teamgrowth2026 """Stay the same""" ;
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    :industrywish """Data Engineering can't fix business process and data stewardship issues. """ ;
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    :aiusagefrequency """Multiple times per day""" ;
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    :educationtopic """Semantics / ontologies / knowledge graphs""" ;
    :industrywish """Data Engineering is adjacent but not equivalent to Information Technology (IT)""" ;
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    :teamgrowth2026 """Stay the same""" ;
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    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Data modeling""" ;
    :industrywish """That it's a means to an end""" ;
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    :industry """Healthcare""" ;
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    :biggestbottleneck """Legacy / technical debt""" ;
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\"Another flaw in the human character is that everybody wants to build and nobody wants to do maintenance.” - Kurt Vonnegut""" ;
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    :aiusagefrequency """Multiple times per day""" ;
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    schema:industry :b696d75511dc16f2 ;
    schema:jobTitle :e93465837c3ccc7d ;
    dbo:sic <https://www.osha.gov/sic-manual/6021#this> ;
    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Founder of AI platform """ ;
    :orgsize """< 50 employees""" ;
    :industry """Finance""" ;
    :teamfocus """Ingestion / pipelines, ML / AI""" ;
    :storageenvironment """Cloud PostgreSQL/MySQL""" ;
    :orchestration """Langfuse """ ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """AI embedded in most workflows""" ;
    :modelingapproach """Event-driven modeling""" ;
    :modelingpainpoints """None / modeling is going well""" ;
    :architecturetrend """Event-driven architecture""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """Streaming / event-driven systems""" ;
    :region """United States / Canada""" .

:survey_entry_1098 a schema:SurveyResponse ;
    schema:dateCreated "2026-01-10T23:21:39.090"^^xsd:dateTime ;
    schema:industry :b696d75511dc16f2 ;
    schema:jobTitle :e463e1f86e6e9b2a ;
    dbo:sic <https://www.osha.gov/sic-manual/6021#this> ;
    dbo:naics <https://www.census.gov/naics/?input=522110&year=2022&details=522110#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:United_States_Canada ;
    :role """Manager / Director / VP""" ;
    :orgsize """1,000–10,000""" ;
    :industry """Finance""" ;
    :teamfocus """Infrastructure / platform work, ML / AI""" ;
    :storageenvironment """Cloud data warehouse (Snowflake, BigQuery, Redshift, etc.)""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Weekly""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """Experimenting""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Legacy / technical debt""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """AI/LLM integration""" ;
    :region """United States / Canada""" .

:survey_entry_1099 a schema:SurveyResponse ;
    schema:dateCreated "2026-01-11T01:37:39.545"^^xsd:dateTime ;
    schema:industry :d0da7ab8bc927960 ;
    schema:jobTitle :ebcb746306074cb6 ;
    dbo:sic <https://www.osha.gov/sic-manual/7371#this> ;
    dbo:naics <https://www.census.gov/naics/?input=541511&year=2022&details=541511#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/15-1243.01#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Data Engineer""" ;
    :orgsize """10,000+""" ;
    :industry """Tech""" ;
    :teamfocus """Ingestion / pipelines, Data modeling / transformation, Data quality / reliability""" ;
    :storageenvironment """On-prem data warehouse""" ;
    :orchestration """chronos (internal)""" ;
    :aiusagefrequency """Multiple times per day""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Pipeline debugging, Documentation / data discovery, Governance / quality checks""" ;
    :aiadoption """Building internal AI platforms""" ;
    :modelingapproach """Mixed (depends on use case)""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Pressure to “move fast”""" ;
    :architecturetrend """Lakehouse""" ;
    :biggestbottleneck """Poor requirements / upstream issues""" ;
    :teamgrowth2026 """Stay the same""" ;
    :educationtopic """AI/LLM integration""" ;
    :industrywish """Better you know your data, faster you catch the issues""" ;
    :region """Europe (EU / UK)""" .

:survey_entry_1100 a schema:SurveyResponse ;
    schema:dateCreated "2026-01-11T07:08:54.174"^^xsd:dateTime ;
    schema:industry :4bb6b41ba1c405c7 ;
    schema:jobTitle :e463e1f86e6e9b2a ;
    dbo:sic <https://www.osha.gov/sic-manual/3999#this> ;
    dbo:naics <https://www.census.gov/naics/?input=339999&year=2022&details=339999#this> ;
    dbo:occupationalCategory <https://www.onetonline.org/link/summary/11-3021.00#this> ;
    schema:spatialCoverage dbr:Europe_EU_UK ;
    :role """Manager / Director / VP""" ;
    :orgsize """200–999""" ;
    :industry """Manufacturing / Industrial""" ;
    :teamfocus """Ingestion / pipelines, Data quality / reliability, Fighting fires""" ;
    :storageenvironment """On-prem data warehouse""" ;
    :orchestration """Airflow""" ;
    :aiusagefrequency """Daily""" ;
    :aihelpswith """Writing Code (SQL, Python, etc), Documentation / data discovery""" ;
    :aiadoption """No meaningful adoption yet""" ;
    :modelingapproach """Ad-hoc / tables added as needed""" ;
    :modelingpainpoints """Lack of clear ownership, Hard to maintain over time, Tools don’t support good modeling, Pressure to “move fast”""" ;
    :architecturetrend """Centralized warehouse""" ;
    :biggestbottleneck """Lack of leadership direction""" ;
    :teamgrowth2026 """Grow""" ;
    :educationtopic """Data modeling""" ;
    :region """Europe (EU / UK)""" .

# Industry Definitions
:d0da7ab8bc927960 a schema:Industry ; schema:name """Tech""" .
:1de0a12347096956 a schema:Industry ; schema:name """Public sector / Education""" .
:4bb6b41ba1c405c7 a schema:Industry ; schema:name """Manufacturing / Industrial""" .
:b696d75511dc16f2 a schema:Industry ; schema:name """Finance""" .
:28ff34dcefbb5763 a schema:Industry ; schema:name """Retail/e-commerce""" .
:a64b892ff09a8da7 a schema:Industry ; schema:name """Healthcare""" .

# Role Definitions
:e463e1f86e6e9b2a a schema:Role ; schema:name """Manager / Director / VP""" .
:0a29d734683d202c a schema:Role ; schema:name """Data Architect""" .
:42ebff4396ce4af4 a schema:Role ; schema:name """Platform Engineer""" .
:49f5c3a0a8a3785a a schema:Role ; schema:name """Analytics Engineer""" .
:0b0f5a71e34ea0fe a schema:Role ; schema:name """BI Engineer""" .
:ebcb746306074cb6 a schema:Role ; schema:name """Data Engineer""" .
:3a099db895d07b00 a schema:Role ; schema:name """Team of 1""" .
:80b1357de3f6c4a1 a schema:Role ; schema:name """Analyst""" .
:709642d9b4d8f543 a schema:Role ; schema:name """Data Analyst / BI Developer""" .
:23394fc078b86d5a a schema:Role ; schema:name """early startup founder""" .
:9296c1068d95a0ef a schema:Role ; schema:name """Software Engineer working on data""" .
:61f54df951c08cf7 a schema:Role ; schema:name """ML Engineer / MLOps""" .
:894c5ff99e0a3c5c a schema:Role ; schema:name """BI LEADER""" .
:585aaf4bd77a558d a schema:Role ; schema:name """All of above""" .
:eb7e29b0e69da789 a schema:Role ; schema:name """Agile Data Coach""" .
:c0dacf8f5c592f90 a schema:Role ; schema:name """CDO""" .
:8ab0f255ef6e13f8 a schema:Role ; schema:name """Associate """ .
:f7ffdd206e7ee16b a schema:Role ; schema:name """Data Analyst""" .
:ba22ee6642551e99 a schema:Role ; schema:name """Data & AI Engineer""" .
:6eceace41f728479 a schema:Role ; schema:name """BI and Data engineering""" .
:10e8006ea0e2f234 a schema:Role ; schema:name """Product Analysts """ .
:ace51a8119a50e6f a schema:Role ; schema:name """AI Engineer""" .
:aa501f45bef4df84 a schema:Role ; schema:name """Founder/CO’s LMW farm""" .
:23ae45f425f70190 a schema:Role ; schema:name """Founder""" .
:8d8ae53f40ac52f8 a schema:Role ; schema:name """Technical Account Manager""" .
:15eddca2f053030f a schema:Role ; schema:name """Operational system designer, which doesnt seem to be a real job.""" .
:87ed9e1788969be1 a schema:Role ; schema:name """Data governance consultant (vendor)""" .
:64fab2649e6bb94f a schema:Role ; schema:name """BI Analyst""" .
:590b7679f11ba888 a schema:Role ; schema:name """Migration Consultant""" .
:fbc7f85d5b671cff a schema:Role ; schema:name """Report Developer""" .
:892feccdb8837d11 a schema:Role ; schema:name """Data Products""" .
:9d596d8d0cddcbec a schema:Role ; schema:name """BI Functional analyst""" .
:50d1a7989b1fb7c5 a schema:Role ; schema:name """Data analyst""" .
:37a4560be5188c89 a schema:Role ; schema:name """Data PM""" .
:d69b468e295fa01c a schema:Role ; schema:name """Data Scientist""" .
:9c095196995ea925 a schema:Role ; schema:name """BI Developer""" .
:f0774e46e4750f43 a schema:Role ; schema:name """Solution Architect""" .
:0b5a16f06a6a7d6f a schema:Role ; schema:name """MLOps, ML Engineer, Platform Engineer""" .
:d88fad57f0e3d505 a schema:Role ; schema:name """Analyst """ .
:2b3d3cb53a7f245b a schema:Role ; schema:name """Nonprofit Director trying to learn data engineering """ .
:483b6b6354b3da50 a schema:Role ; schema:name """product manager""" .
:089484a0bc3ea40f a schema:Role ; schema:name """Product manager """ .
:dacc9366b4f9f4da a schema:Role ; schema:name """Data scientist """ .
:17cf1af6cc96b5a8 a schema:Role ; schema:name """BI Specialist""" .
:b615170f403c3a03 a schema:Role ; schema:name """Principal DevRel Engineer""" .
:fd1c81a6c6f87c82 a schema:Role ; schema:name """Data Business Analyst or Product Owner""" .
:4e145c982015d08b a schema:Role ; schema:name """SRE""" .
:369560db0357d647 a schema:Role ; schema:name """All of the above""" .
:d844174738b0424e a schema:Role ; schema:name """Technology Strategist """ .
:3ae4491e46eb7215 a schema:Role ; schema:name """Product Manager""" .
:811a51d14e4e22ce a schema:Role ; schema:name """Data Modeller""" .
:0430aba5daf14957 a schema:Role ; schema:name """Consultant working on migrations and data quality""" .
:6cd546c243539795 a schema:Role ; schema:name """Head of Development, architect""" .
:8ac0142c1e8f1165 a schema:Role ; schema:name """Standards developer""" .
:e495a3ef9f22d43b a schema:Role ; schema:name """ML-DL Professor """ .
:70de3d42a3d5b81f a schema:Role ; schema:name """Data Platform Product Manager """ .
:2de4f300fb075083 a schema:Role ; schema:name """Data Analyst """ .
:8f03c917e8f374f0 a schema:Role ; schema:name """Data Engineer & Mainframe Developer""" .
:95bff41fb9ff2729 a schema:Role ; schema:name """Knowledge Engineer""" .
:3370a10c5fd4a878 a schema:Role ; schema:name """Data analist""" .
:d00d6be0e347d89a a schema:Role ; schema:name """Data Scientist """ .
:6baec94e034b1531 a schema:Role ; schema:name """Sales engineer""" .
:276c84803a72fc9a a schema:Role ; schema:name """Field CTO (Sales)""" .
:a8283213f039446a a schema:Role ; schema:name """Job seeker""" .
:fcc8bb2d5ecfd086 a schema:Role ; schema:name """Data Product Manager""" .
:55c3a518f5ae09b2 a schema:Role ; schema:name """Data & Analytics Engineer""" .
:6a8256dacb830aa5 a schema:Role ; schema:name """Business Intelligence Engineer""" .
:e7f67dded93a7870 a schema:Role ; schema:name """CTO""" .
:1e168d114d1d675c a schema:Role ; schema:name """Business Intelligence Consultant""" .
:b45a25ca909d99a1 a schema:Role ; schema:name """Business Intelligence Analyst""" .
:4e81a74b0e653ba4 a schema:Role ; schema:name """Practice Lead for Decision Intelligence""" .
:78dcdbdce6a19fc6 a schema:Role ; schema:name """Senior Analyst """ .
:79375239ffeee9d9 a schema:Role ; schema:name """Data Intelligence """ .
:de4c18d03c7d5311 a schema:Role ; schema:name """Business Intelligence""" .
:92d3b2b3339a6638 a schema:Role ; schema:name """Data Modeler """ .
:970a0d7d67218d97 a schema:Role ; schema:name """product data analyst""" .
:85aa45de2ff33060 a schema:Role ; schema:name """Data Architecture and Engineering consultant""" .
:3817e1e6eaa330e5 a schema:Role ; schema:name """data governance lead""" .
:534aaf7ac80f8836 a schema:Role ; schema:name """Sales Engineer""" .
:f2395b7910be1844 a schema:Role ; schema:name """Business Owner""" .
:9b9cdf1231dd4cac a schema:Role ; schema:name """Data/ML/AI Consultant [Presales + Implementation Responsibilities]""" .
:e93465837c3ccc7d a schema:Role ; schema:name """Founder of AI platform """ .