WE-ITOntdek werk in data en AI

Vacancies

Data en Analytics Lead

· Utrecht

Original sourceAvailability unverified
Vacancy description

Imported 2026-11-06 16:15:33.014263+00:00

Data en Analytics Lead, Utrecht. Stack: Azure Data Lake, Data Factory, Databricks, Power BI, DAX. Een Microsoft- en ERP-consultancy in de provincie Utrecht neemt een Data en Analytics Lead aan. Je bouwt een centraal dataplatform en coacht BI-developers en key users. Stack: Azure Data Lake, Data Factory, Databricks, Power BI, DAX. Wat je gaat doen: Een centraal dataplatform bouwen op Azure Data Lake, Data Factory en Databricks (medallion) Een dimensioneel model en centraal Power BI-semantisch model beheren BI-developers en key users coachen Rapportagemigratie begeleiden Wat wij vragen: Minimaal 4 jaar ervaring als data engineer of BI-developer Kimball, SQL, Spark SQL, PySpark, ADF, Databricks, Power BI en DAX Hbo of wo Goed Nederlands en Engels Wat wij bieden: Marktconform salaris Leaseauto of reiskostenvergoeding Pensioen, thuiswerken en ruime verlofregeling

Full-text baseline

Classified 2026-11-07 12:47:24.291084+00:00

No Data or AI scopeNeeds review

The title has a broad keyword but professional Data/AI tasks were not established; review scope.

No skills suggested.

Proposed e-CF links

Suggested links for review. They do not assess skill levels.

No e-CF links were suggested.

AI suggestion

Classified 2026-11-07 16:24:29.896510+00:00

DataNeeds review

The listed technologies and tasks support Data scope, but the text does not clearly mark the skills list as mandatory or preferred; requirement importance is therefore unassessed. No AI professional tasks are established.

Skills suggested

  • SQL data queries
    Source passage

    Kimball, SQL, Spark SQL, PySpark, ADF, Databricks, Power BI en DAX

  • Data pipelines
    Source passage

    Een centraal dataplatform bouwen op Azure Data Lake, Data Factory en Databricks (medallion)

  • Business intelligence reports
    Source passage

    Een dimensioneel model en centraal Power BI-semantisch model beheren

  • Needs and results communication
    Source passage

    BI-developers en key users coachen

Proposed e-CF links

Suggested links for review. They do not assess skill levels.

SQL data queries to D.7: Data Science and Analytics

related · draft aiet for amey review

Source passage

Kimball, SQL, Spark SQL, PySpark, ADF, Databricks, Power BI en DAX

Task: The queries extract or combine data for an analytical question.

Data pipelines to B.2: Component Integration

related · draft aiet for amey review

Source passage

Een centraal dataplatform bouwen op Azure Data Lake, Data Factory en Databricks (medallion)

Task: The task integrates systems or components and checks compatibility.

Data pipelines to D.7: Data Science and Analytics

related · draft aiet for amey review

Source passage

Een centraal dataplatform bouwen op Azure Data Lake, Data Factory en Databricks (medallion)

Task: The task extracts and integrates data sources for analytics.

Business intelligence reports to D.7: Data Science and Analytics

related · draft aiet for amey review

Source passage

Een dimensioneel model en centraal Power BI-semantisch model beheren

Task: The report provides analytical measures or insight.

Business intelligence reports to B.1: Application Development

related · draft aiet for amey review

Source passage

Een dimensioneel model en centraal Power BI-semantisch model beheren

Task: The task implements and validates a report application.

Needs and results communication to D.11: Needs Identification

related · draft aiet for amey review

Source passage

BI-developers en key users coachen

Task: The task clarifies customer needs for an ICT solution.

Other source passages

Data en Analytics Lead

Een centraal dataplatform bouwen op Azure Data Lake, Data Factory en Databricks (medallion)

Een dimensioneel model en centraal Power BI-semantisch model beheren

BI-developers en key users coachen