Senior Data Engineer
On-site · Amsterdam, North Holland, The Netherlands
Job Summary
Senior Data Engineer to design, build, and optimise data pipelines and semantic models on a modern stack, implementing governance capabilities (lineage, access controls, data classification) and contributing to metadata management and DataHub adoption. You’ll partner with business stakeholders to translate requirements into production-grade data solutions, drive engineering best practices (testing, CI/CD, documentation, code reviews, observability), and work across domains from Finance to HR and Procurement to support trusted, self-service analytics and AI-enabled experiences using Databricks, dbt, SQL, PySpark, and related technologies.
Required Qualifications
- 8+ years of experience designing and building production data pipelines, data models, and analytical data solutions
- Advanced SQL skills with strong hands-on experience using dbt, PySpark, or both
- Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and PySpark-based development
- Strong understanding of data modelling, data quality, and building trusted business-facing data products
- Experience implementing governance practices, including access controls, lineage, testing, and CI/CD within modern data engineering environments
- Experience working with Finance, People/HR, Procurement, Operations, or similar business data domains is advantageous
- Strong communication skills and the ability to work directly with stakeholders to solve business problems through data
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