Medior Databricks Data Engineer

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.