Data Engineer – ETL & DevOps

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