Senior Databricks Data Engineer

Senior Databricks Data Engineer – Lead, Innovate, Make an Impact

Shape enterprise data solutions, lead high-impact Azure & Databricks projects, and see your work drive real business results.

Why this is exciting for you

• Lead cutting-edge Microsoft Data & AI projects that make measurable impact
• Full ownership of end-to-end data solutions, from architecture to deployment
• Mentor colleagues and build your reputation as a technical leader
• 40-hour week + 32 days off + hybrid flexibility
• Freedom to innovate and make your mark in a supportive culture
• This role is also open to freelance consultants

What you’ll own

• Architect, develop, and optimize scalable Databricks/Spark pipelines on Azure
• Build reliable ETL/ELT pipelines for batch & streaming workloads
• Set best practices in cloud architecture, CI/CD, security & governance
• Collaborate cross-functionally to deliver data solutions with measurable business value
• Drive innovation in Azure, Databricks, and big data technologies

Who you are

• 5+ years as a data engineer with strong project ownership
• Deep expertise in Azure, Databricks, Spark (PySpark, Spark SQL), SQL & Python
• Skilled in data modelling, ETL/ELT design, cloud architecture, CI/CD pipelines
• Fluent in Dutch and/or French + English
• Passionate about mentoring and elevating team performance

Don’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!