Data Engineer

• 5+ years in data engineering, including 2+ years on Databricks or Microsoft Fabric.
• Strong PySpark, Python and SQL.
• Azure data services: Data Factory, ADLS Gen2, Synapse or Fabric.
• Data modelling (dimensional and lakehouse) and data quality practices.
• CI/CD and Git-based delivery.

Nice to have

• Databricks or Microsoft (DP-600, DP-203) certification.
• Kafka or Event Hubs streaming.
• Experience with regulatory data (DORA, credit risk, KYC) in banking or insurance.
• Dutch language.

Engagement details

• Working language English; Dutch is a plus.
• You must already have the right to work in the Netherlands (EU citizen or valid Dutch permit); no visa sponsorship.
• Freelance through your own company or employed through our payroll partner.

IntelStack is hiring a Data Engineer for a global technology and consulting client building modern data platforms for Dutch financial-services and public-sector organisations. You will design and run the pipelines that feed regulatory reporting, analytics and AI use cases. Reference: NL-TEST-DE-02 · Engagement: contract, 6 to 12 months, extendable · Start: within 4 weeks · On site: 2 days on site IntelStack is hiring a Data Engineer for a global technology and consulting client building modern data platforms for Dutch financial-services and public-sector organisations. You will design and run the pipelines that feed regulatory reporting, analytics and AI use cases. What you will do

• Build batch and streaming pipelines on Azure Databricks and Microsoft Fabric (lakehouse, medallion architecture).
• Develop in PySpark and SQL, with Delta Lake, Unity Catalog and Data Factory or Fabric pipelines.
• Model data for reporting and Power BI, with data quality checks, lineage and documentation.
• Automate deployment with CI/CD (Azure DevOps or GitHub Actions) and infrastructure as code.
• Support migrations from legacy warehouses (SQL Server, Oracle, Teradata) to the lakehouse.