Azure Data Engineer
Randstad
Brussel, Belgium
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Microsoft Azure
Data Governance
Data Infrastructure
Extract Transform Load (ETL)
Data Warehousing
Database Models
Software Debugging
DevOps
Python (Programming Language)
Meta-Data Management
Microsoft Visio
Power BI
+6 more
DataOps
Data Streaming
Azure Data Factory
Data Lakes
Pyspark
Databricks
Job description
- Analyze functional requirements and design performant Azure data solutions
- Implement and maintain ETL pipelines using Azure Data Factory, Mapping Data Flows, and PySpark in Databricks
- Prepare, execute, and document testing activities for high-reliability data operations
- Debug, troubleshoot, and fix pipeline issues within daily exploitation runs
- Support the DWH, Data Lake, and overall data governance frameworks, * Guidance: we believe in the power of human connections, so we’ll assign you a dedicated talent manager who will always have your back
- Career planning and professional development: our learning and development team is here to help you create your Data Consultant career path
- Team events & Learning from peers: as a technical expert, you will be part of our chapters: vibrant communities filled with colleagues who are passionate about a particular area of expertise
Requirements
- Master’s degree in IT or related, with hands-on Azure Cloud Data platform expertise (Databricks, Data Factory, Data Lake Gen2, Synapse, DevOps)
- Strong background in PySpark, Python, database modeling (Erwin/Visio), metadata management, and Power BI
- Proven ability to translate complex business requirements into technical specs while interacting with business teams
- Solution-driven, pragmatic problem-solver with strong communication skills who thrives both independently and in a collaborative team environment
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