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Salary
≈ $58k – $150k per year (Estimated)
Location
In office (Antwerp)
Seniority
Senior
Employment
Freelance

First seen by Alion on Oct 11, 2026.

Overview
Company
Impact
Profile match
Konnekt - Rekrutering van IT, Finance, HR en Engineering. De persoonlijke en transparante aanpak voor klant en talent.
Onze klant is een grote organisatie actief binnen een complexe en maatschappelijk relevante omgeving, waar digitalisering en data een belangrijke rol spelen in de verdere ontwikkeling van de dienstverlening.

Om data efficiënter te ontsluiten en betrouwbare inzichten beschikbaar te maken voor verschillende gebruikers en afdelingen, wordt verder geïnvesteerd in een modern cloud-gebaseerd dataplatform. Binnen deze omgeving staan schaalbaarheid, datakwaliteit, governance en herbruikbaarheid centraal.

Functieomschrijving
Als Senior Data Engineer werk je mee aan de verdere uitbouw en professionalisering van het centrale dataplatform. Je vertaalt data- en rapporteringsbehoeften naar performante data-oplossingen en neemt zelfstandig projecten op van analyse tot implementatie.
  • Je ontwerpt, bouwt en optimaliseert schaalbare datapipelines en data-integraties vanuit verschillende bronsystemen.
  • Je werkt intensief met Microsoft Fabric, Azure, Python, SQL en Power BI binnen een moderne cloud data-omgeving.
  • Je bouwt mee aan Lakehouse-, Warehouse- en Medallion-architecturen en ontwikkelt betrouwbare en herbruikbare datasets.
  • Je ondersteunt reporting en analytics door data te modelleren en performant beschikbaar te stellen voor eindgebruikers.
  • Je draagt actief bij aan data governance, data quality, CI/CD, documentatie en technische best practices binnen het datateam.
  • Je hebt minimaal 5 jaar aantoonbare ervaring als Data Engineer en minstens 3 jaar ervaring met Python binnen data engineering.
  • Je hebt hands-on ervaring met Microsoft Fabric, waaronder Pipelines, Dataflows en Notebooks, aangevuld met sterke kennis van Azure cloud data-architecturen.
  • Je beschikt over sterke kennis van SQL, ETL, data-integratie, Lakehouse/Warehouse-concepten en rapporteringsomgevingen.
  • Ervaring met Power BI, Spark/PySpark, Medallion Architecture, Kimball, CI/CD, data governance en data quality is een sterke troef.
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