Data Engineer – ETL
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Our client, a prominent organization in the public sector, is looking for a professional to join the development team of a specialized administrative processing platform. The role focuses on bridging the gap between business requirements and technical delivery by ensuring data quality and applying DevOps principles to business intelligence workflows.
- Translate organizational standards and business requirements into concrete functional and technical requirements for data streams.
- Define data definitions and KPIs within a semantic layer to ensure consistent calculations and reporting across the platform.
- Automate and monitor data quality rules to ensure completeness, accuracy, and consistency throughout the data chain.
- Implement CI/CD pipelines for data processes using version control, automated testing, and controlled release cycles.
- Develop and maintain ETL/ELT processes and a reliable publication layer for various business intelligence tools.
- Ensure compliance with information security, GDPR, and internal audit expectations from source to report.
- 5+ years of experience in data engineering, data warehousing, or business intelligence.
- 2+ years of experience working within a development team applying CI/CD and DevOps principles.
- You possess expert-level SQL skills and experience in data modeling including Kimball, Data Vault, and SCD.
- You have experience developing ETL/ELT processes and managing batch processing pipelines.
- You bring proficiency in version control and CI/CD tooling such as Git, GitHub Actions, Azure DevOps, or GitLab CI.
- You're experienced with business intelligence platforms like SAS Visual Analytics, Power BI, or Apache Superset.
- You have knowledge of automated testing and data quality tools.
- You bring familiarity with Jira or Azure Boards for agile workflow management.
- You possess an analytical mindset and the ability to communicate technical concepts to non-technical stakeholders.
- You are fluent in Dutch or French with a good knowledge of the other language and functional English.
Nice to Haves
- Experience with SAS 9.4, including Base SAS, Enterprise Guide, and DI Studio.
- Knowledge of Python, dbt, Docker, or Azure cloud services.
- Familiarity with PostgreSQL, Azure Data Factory, or Azure Synapse Analytics.
- Possession of a DAMA CDMP, Cloud Data Engineer, or DevOps certification.
- Start date: 13/12/2026
- Duration: 12 months
- Work regime: Full-time
- Location: Anderlecht
- Working model: Hybrid
- Contract: open to both permanent employees and freelancers
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