Are you passionate about building impactful data solutions that go beyond pipelines and platforms? Join a fast-evolving corporate data organization where innovation, agility, and cross-functional collaboration are the norm not the exception.
About the role
As a Data Engineer, you will become a key contributor within a business-oriented product team, working closely with stakeholders to design, develop, and scale modern data solutions. From crafting robust data pipelines and efficient Storage structures to delivering reusable components and integrated services, you'll help transform data into a strategic asset across the organization.
Here, data is not just managed it's activated.
Your mission
Develop and maintain data pipelines using Azure technologies (Databricks, Data Factory, Functions, DevOps, Stream Analytics, etc.)
Build analytical models, materialized views, and efficient data endpoints for business users
Contribute to data enrichment processes using Python in Databricks
Collaborate with analysts and business users to refine use cases and deliver real value
Interact with governance platforms (Glossary, Lineage, Quality, etc.) to ensure traceability and coherence
Participate in testing and documentation to reinforce DevOps and product principles
Stay curious: explore and adopt modern tools such as Redis, RabbitMQ, Neo4j, Apache Arrow, and more
Bring clarity, challenge assumptions, and contribute to a "no-nonsense", product-oriented mindset
What you bring
3+ years of experience as a Data Engineer
Proficient with SQL Server
Solid experience with Azure Databricks and related services
Strong Python skills in a data context
Comfortable with Power BI for data visualization
Excellent communication and collaboration abilities
Fluent in English (mandatory); German, Dutch or French are a plus
A continuous improvement mindset and an iterative, analytical approach to problem-solving
Customer-focused, agile thinker who thrives in a flat, collaborative, cross-team environment
Open to challenge and being challenged—with humility, logic, and respect
Work setup
Hybrid model: 2 days/week in Brussels, 3 days/week remote (post-onboarding)
Occasional travel to Berlin may be required
Ready to build something bigger than pipelines?
If you're eager to make data work for people not just system this is your chance to be part of a product-first, agile-minded team pushing the boundaries of enterprise data.