Data Engineer
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- With the Product Owner and the functional analysts, turn information needs, security rules and GDPR into data requirements and user stories with clear acceptance criteria.
- Define each data element and KPI once (data dictionary, semantic layer), so that a KPI is calculated the same way everywhere.
- Build, automate and monitor data quality rules, and follow each anomaly until it is solved.
- Develop and maintain ETL/ELT processes and a reliable publishing layer for SAS Visual Analytics, Power BI and Apache Superset.
- Set up CI/CD for data pipelines, models and reports: Git, code reviews, automated tests, controlled releases and monitoring of batch loads.
- Prepare well-documented, secure datasets for future AI use. What it takes
- At least 5 years in data engineering, data warehousing or BI, with at least 2 years in a development team that works with CI/CD.
- Expert SQL and data modelling: Kimball or Data Vault, slowly changing dimensions, incremental loads.
- Hands-on SAS, Python, PostgreSQL and Azure Data Factory; some Azure Synapse and Apache Superset.
- Proven experience in setting up and monitoring data quality controls.
- Git, branching, code reviews and CI/CD tools (GitHub Actions, Azure DevOps or GitLab CI); test automation such as dbt tests.
- A bachelor's or master's degree in ICT, or equivalent experience.
- Dutch or French, an understanding of the other national language, and working English.
- A plus: SAS 9.4 (Base SAS, Enterprise Guide, DI Studio), dbt, Docker; DAMA CDMP or a cloud data engineer certification; experience in a regulated or public-sector environment.
What we offer
- A permanent contract with Neurho.
- Freelancers are welcome too.
- Start: mid-December 2026, on site in Anderlecht.
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