Azure Data Engineer

Your responsibilities:

• 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

Your profile:

• 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

Our offer:

• Challenging projects and an entrepreneurial culture
• 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