Senior Databricks Data Engineer – Lead, Innovate, Make an ImpactShape enterprise data solutions, lead high-impact Azure & Databricks projects, and see your work drive real business results.Why this is exciting for youLead cutting-edge Microsoft Data & AI projects that make measurable impactFull ownership of end-to-end data solutions, from architecture to deploymentMentor colleagues and build your reputation as a technical leader40-hour week + 32 days off + hybrid flexibilityFreedom to innovate and make your mark in a supportive cultureThis role is also open to freelance consultantsWhat you’ll ownArchitect, develop, and optimize scalable Databricks/Spark pipelines on AzureBuild reliable ETL/ELT pipelines for batch & streaming workloadsSet best practices in cloud architecture, CI/CD, security & governanceCollaborate cross-functionally to deliver data solutions with measurable business valueDrive innovation in Azure, Databricks, and big data technologiesWho you are5+ years as a data engineer with strong project ownershipDeep expertise in Azure, Databricks, Spark (PySpark, Spark SQL), SQL & PythonSkilled in data modelling, ETL/ELT design, cloud architecture, CI/CD pipelinesFluent in Dutch and/or French + EnglishPassionate about mentoring and elevating team performanceDon’t meet every requirement? We still encourage you to apply.If you want to lead high-impact data projects, innovate at scale, and grow your career in a supportive, innovative environment—this is your next challenge. Apply now!