Medior Databricks Data Engineer
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Build scalable Data platforms with Databricks, Spark, and Azure.
LACO is looking for a Medior Databricks Data Engineer who enjoys turning raw data into reliable, production-grade pipelines and helping shape modern cloud data platforms for real clients.
What you’ll do
- Design and optimise data solutions in Azure Databricks & Spark
- Implement data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainability
- Improve performance, reliability, CI/CD, and cloud architecture
- Collaborate with engineers, analysts, and stakeholders to deliver impact
What you gain
✔ Work on cutting-edge Microsoft data & AI projects
✔ Real hands‑on ownership, not just maintenance
✔ Continuous coaching, learning, and career growth
✔ Supportive team with freedom to take initiative
✔ 40‑hour week + 32 days off + hybrid flexibility
Your background
- ~2+ years in data engineering
- Strong Databricks, Spark (PySpark/Spark SQL), SQL, and Python
- Experience with ETL/ELT, data modelling, and cloud/CI‑CD practices
- Fluent in Dutch and/or French + English
- This role is also open to freelance consultants
Don’t meet every requirement? We still encourage you to apply.
Ready to build real data platforms with Databricks? Let’s talk.
