Data Engineer JP055033

We are looking for an experienced Data Engineer to support a major data transformation initiative within the public sector.

The mission focuses on building and maintaining a central Business Reference Repository designed to consolidate company data from multiple internal and external sources improve data quality reduce duplication and support the Only Once principle.

• Design and implement data integration data quality and data monitoring processes.
• Build and maintain ETL/data integration pipelines primarily using FME.
• Define transformation normalisation and consolidation rules for data coming from multiple sources.
• Develop connectors and integration flows for feeding and distributing reference data.
• Implement automated data quality controls including:
  • Format validation
  • Completeness checks
  • Temporal consistency checks
  • Cross-source validation
  • Uniqueness controls
• Design mechanisms for detecting anomalies and inconsistencies including duplicates outliers and conflicts between systems or data sources.
• Develop automated data cleansing and remediation processes including standardisation normalisation deduplication and data enrichment.
• Define and monitor key data quality indicators such as accuracy completeness consistency uniqueness freshness and compliance.
• Contribute to dashboards reporting and continuous improvement of data quality.
• Support technical teams in resolving data-related incidents and contribute to integration and testing activities.

• Confirmed experience as a Data Engineer / ETL-ELT Engineer.
• Strong practical experience with ETL tools particularly FME; knowledge of Talend is also relevant.
• Strong knowledge of Data Quality Management.
• Experience with data integration transformation normalisation and consolidation.
• Experience analysing and designing database management systems.
• Understanding of data governance principles including DAMA concepts.
• Experience with data validation anomaly detection and data cleansing.
• Strong analytical and problem-solving skills.

French C2 / Full Professional Proficiency Mandatory

Location: Namur Belgium
Work model: Hybrid with a minimum of 60% on-site presence and potentially more when required
Start date: 15 October 2026
End date: 14 June 2027
Duration: Approximately 8 months
Workload: Part-time 3/5
Daily rate: 817.14

Experience in the public sector is an advantage. Candidates may also be asked to describe their relevant experience in project management data modelling/conceptualisation and data quality control. The selection is weighted 70% on technical skills and 30% on a proposed methodology note of maximum one page.
If you have strong experience in Data Engineering FME ETL/ELT Data Integration and Data Quality Management we would like to hear from you.