Azure Databricks Data Engineer: Pipelines & Analytics

eXalt; Brussel; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

eXalt Belgium is seeking a Data Engineer specialized in Azure Databricks to design, build, and maintain data pipelines and storage structures across the enterprise. This role emphasizes collaboration with analysts, governance tools, and DevOps practices to deliver scalable data solutions.

You will work with Python and SQL to implement transformations and ensure data quality while contributing to documentation and cross-functional initiatives.

Qualifications

• 3 to 5+ years hands-on in two or more areas from the must-have list.
• Strong experience with Azure Databricks and Azure data ecosystem.
• Proficient Python and SQL for data engineering tasks.

Responsabilités

• Design, develop, and maintain data pipelines using Azure Databricks, Azure Data Factory, Azure Functions, and Azure Stream/Log Analytics.
• Implement data enrichments and transformations with Python in a Databricks environment.
• Create efficient storage structures and powerful materialized views across different analytical technologies.
• Develop data exchange endpoints for end users and business teams.
• Interact with data governance tools (Glossary, Modeling, Lineage, Data Quality).
• Collaborate with business analysts and stakeholders to refine requirements and present reusable, integrated solutions.
• Contribute to extensive testing and reinforce DevOps principles within the team.
• Participate in the writing and structuring of technical documentation.
• Continuously look at data in a transversal way (no silos), across the entire enterprise, to maximize coherence, reuse, and adoption.

Connaissances

Azure Databricks

Python

SQL

Azure Data Factory

Azure Functions

Outils

Power BI

Azure DevOps

Description du poste

eXalt Belgium is seeking a Data Engineer specialized in Azure Databricks to design, build, and maintain data pipelines and storage structures across the enterprise. This role emphasizes collaboration with analysts, governance tools, and DevOps practices to deliver scalable data solutions.

You will work with Python and SQL to implement transformations and ensure data quality while contributing to documentation and cross-functional initiatives.