Data Engineering Lead: Scale Modern Data Lakes & Analytics

ictjob.be; Brussel; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

ictjob.be is seeking a Senior Data Engineer / Data Engineering Lead to shape and scale a modern data ecosystem for a leading Belgian healthcare organization. You will design and oversee robust data pipelines, data lake/warehouse solutions, and data governance practices.

Ideal candidates have 5+ years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS, Microsoft Fabric, Synapse, and ETL/ELT architectures. English is mandatory, Dutch/French are a plus.

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 (mandatory).
• Dutch and/or French is considered a strong asset.

Responsabilités

• Design, build and maintain robust data pipelines and integrations.
• Develop scalable Data Lake, Data Warehouse and Data Mart solutions.
• Implement data quality, monitoring and observability practices.
• Support BI, Analytics and Data Science teams with trusted datasets.
• Drive data engineering standards, best practices and architecture decisions.
• Coach and mentor teams while contributing to the long-term data roadmap.

Connaissances

Data engineering

SQL

Python

Big data

ETL/ELT

CI/CD & DevOps

English

Dutch/French

Azure/AWS

Microsoft Fabric/Synapse

Outils

Microsoft Fabric

Synapse

Data Factory

Databricks

Spark

Hive

Description du poste

ictjob.be is seeking a Senior Data Engineer / Data Engineering Lead to shape and scale a modern data ecosystem for a leading Belgian healthcare organization. You will design and oversee robust data pipelines, data lake/warehouse solutions, and data governance practices.

Ideal candidates have 5+ years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS, Microsoft Fabric, Synapse, and ETL/ELT architectures. English is mandatory, Dutch/French are a plus.