Senior Data Engineer - Scale Modern Data Lakes & Pipelines

ictjob.be

Belgique

Sur place

EUR 90 000 - 130 000

Plein temps

Il y a 3 jours
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Résumé du poste

ictjob.be is seeking a Senior Data Engineer / Data Engineering Lead to help build and scale a modern data ecosystem for a leading healthcare organization in Belgium. You will design, build, and maintain data pipelines and data lake/warehouse solutions, while mentoring teams and shaping the data roadmap.

The role requires 5+ years in data engineering, strong SQL/Python, and expertise with Spark/Hive, Azure/AWS, and Microsoft Fabric/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.
  • Experience with ETL/ELT processes and cloud-based data architectures.
  • Understanding of Data Quality, CI/CD and DevOps principles for data platforms.
  • English proficiency is mandatory.
  • Dutch and/or French is considered a strong asset.

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
Big Data
Azure Data Services
Microsoft Fabric
Synapse
Data Factory
ETL/ELT
CI/CD
DevOps
Spark
English
Dutch/French

Outils

Databricks

Description du poste

ictjob.be is seeking a Senior Data Engineer / Data Engineering Lead to help build and scale a modern data ecosystem for a leading healthcare organization in Belgium. You will design, build, and maintain data pipelines and data lake/warehouse solutions, while mentoring teams and shaping the data roadmap.

The role requires 5+ years in data engineering, strong SQL/Python, and expertise with Spark/Hive, Azure/AWS, and Microsoft Fabric/Synapse.

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