Cegeka - Senior Data Engineer

Summary

Designs and scales data pipelines, warehouses, and lakes for a Belgian healthcare client using Microsoft Fabric, Azure, and advanced analytics tools while mentoring teams and ensuring data reliability.

Are you an experienced Data Engineer ready to help shape and scale a modern data ecosystem built on Microsoft Fabric, Azure and advanced analytics platforms?
We are currently looking for a Senior Data Engineer / Data Engineering Lead to help build and scale a modern data ecosystem for one of Belgium's leading healthcare organizations.


What you'll be doing

  • Designing, building and maintaining robust data pipelines and integrations
  • Developing scalable Data Lake, Data Warehouse and Data Mart solutions
  • Implementing data quality, monitoring and observability practices
  • Supporting BI, Analytics and Data Science teams with trusted datasets
  • Driving data engineering standards, best practices and architecture decisions
  • Coaching and mentoring teams while contributing to the long-term data roadmap

What we're looking for

  • 5+ years of experience as a Data Engineer
  • Strong SQL and Python expertise
  • Experience with Spark, HIVE or similar Big Data technologies
  • Strong knowledge of Azure Data Services and/or AWS
  • Experience with Microsoft Fabric, Synapse, Data Factory or equivalent platforms
  • Experience with ETL/ELT processes and cloud-based data architectures
  • Understanding of Data Quality, CI/CD and DevOps principles for data platforms
  • English proficiency (mandatory)
  • Dutch and/or French is considered a strong asset
Nice to have:
  • Databricks
  • Power BI
  • Data Vault & Dimensional Modelling (Star Schema)
  • Data Governance & Data Contracts

See also

Data Engineering jobs by country — openings, pay and top skills →

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