Build scalable Data platforms with Databricks, Spark, and Azure.
Find out more about this role by reading the information below, then apply to be considered. 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? xjsrcvq Let's talk.