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 doDesign and optimise data solutions in Azure Databricks & SparkImplement data pipelines (ETL/ELT) for batch and streaming workloads, ensuring performance, reliability, and maintainabilityImprove performance, reliability, CI/CD, and cloud architectureCollaborate with engineers, analysts, and stakeholders to deliver impactWhat you gainWork on cutting-edge Microsoft data & AI projectsReal hands-on ownership, not just maintenanceContinuous coaching, learning, and career growthSupportive team with freedom to take initiative40-hour week + 32 days off + hybrid flexibilityYour background~2+ years in data engineeringStrong Databricks, Spark (PySpark/Spark SQL), SQL, and PythonExperience with ETL/ELT, data modelling, and cloud/CI-CD practicesFluent in Dutch and/or French + EnglishThis role is also open to freelance consultantsDon't meet every requirement? We still encourage you to apply.Ready to build real data platforms with Databricks? Let's talk.