Data engineer Azure Databricks
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Job description
We believe that in business, as in music, it’s all a question of tempo. eXalt Belgium, the Belgian subsidiary of eXalt Group, brings together passionate, curious consultants ready to take on the digital and sector-specific challenges of our clients in Belgium - from banking to insurance, from energy to the public sector. Here, technology isn’t an end in itself, but a means to connect teams and move projects forward, concretely. Our consultants build, test, measure, and adjust, because we prefer the field to a perfect slide deck. Our model relies on active communities, continuous learning, and a feedback culture that pushes everyone to grow. All within a close-knit, human-scale collective, where collaboration comes before competition. Pulse. Make. Learn. Energy, action, and curiosity, that’s our culture in three words. If you want to join a company that trusts you and lets you express your talent, welcome to eXalt! As a Data Engineer specialized in Azure Databricks, you’ll play a key role in building and maintaining data pipelines, efficient storage structures, and data exchange endpoints for the benefit of business stakeholders. In concrete terms, you will:
- 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.
Requirements
3 to 5+ years of hands-on experience in at least 2 of the following areas: SQL Server, Azure Databricks / Azure Data Factory / Azure Functions / Azure DevOps, Python in Databricks, or emerging technologies (Redis, RabbitMQ, Neo4j, Apache Arrow…).
- Strong experience with Azure Databricks and the Azure data ecosystem.
- Solid command of Python and SQL for data engineering purposes.
- Ability to interact with business analysts and stakeholders in complex, multi-stakeholder environments.
- Product-oriented mindset with an iterative and analytical approach to problem-solving.
- Team player who values respect, open-mindedness, challenge, and innovation.
- Customer-oriented with excellent communication skills.
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Fluent in English (must have) AND fluent in French and/or Dutch. Nice to have:
- Experience with Power BI.
- Experience with SAP data integration.
- Knowledge of Azure DevOps and CI/CD practices.
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Prepare application
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