Senior Data Engineer & Platform Lead

Cegeka

Brussel Hoofdstad

Sur place

EUR 85 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Flexible work options
Healthcare benefits

Résumé du poste

Cegeka in Belgium is seeking a Senior Data Engineer / Data Engineering Lead to shape a modern data ecosystem built on Microsoft Fabric, Azure and advanced analytics platforms. You will design and scale data pipelines, lead data-architecture decisions and mentor teams within a strategic healthcare data transformation initiative.

We value 5+ years in data engineering, strong SQL and Python, and hands-on experience with Spark/Hive, Azure data services and Synapse.

Qualifications

  • 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.

Responsabilités

  • 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.

Connaissances

SQL
Python
Data pipelines
CI/CD
DevOps

Outils

Spark
Hive
Azure Data Services
Synapse
Data Factory
Microsoft Fabric

Description du poste

Cegeka in Belgium is seeking a Senior Data Engineer / Data Engineering Lead to shape a modern data ecosystem built on Microsoft Fabric, Azure and advanced analytics platforms. You will design and scale data pipelines, lead data-architecture decisions and mentor teams within a strategic healthcare data transformation initiative.

We value 5+ years in data engineering, strong SQL and Python, and hands-on experience with Spark/Hive, Azure data services and Synapse.

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