Are you passionate about building scalable data platforms and helping organizations unlock the full value of their data? We're looking for a Senior Databricks Data Engineer who is ready to take ownership, influence technical decisions, and drive innovation within modern cloud data environments.
Your mission
✔ Design and optimize high-performance Databricks and Spark solutions
✔ Build and maintain scalable ETL/ELT pipelines for batch and streaming workloads
✔ Define and implement best practices around cloud architecture, security, governance, and CI/CD
✔ Partner with business and technical stakeholders to deliver impactful data solutions
✔ Explore and adopt the latest Azure and big data technologies
What you'll bring
? 5+ years of experience in Data Engineering
? Strong expertise in Databricks, Azure, Spark (PySpark/Spark SQL), Python, and SQL
? Solid understanding of data modelling and cloud-native architectures
? Fluent in English and Dutch and/or French
? A collaborative mindset with a passion for mentoring and knowledge sharing
What's in it for you?
- End-to-end ownership of challenging data projects
- Work with leading Azure and Databricks technologies
- Hybrid working model
- 40-hour workweek and 32 vacation days
- Freedom to innovate and contribute to technical strategy
- Opportunities for both permanent employees and freelance consultants
We know great talent doesn't always tick every box. If this opportunity excites you, we'd love to hear from you.