Databricks Data Engineer

• Design and build scalable data platforms using Databricks
• Develop data pipelines using Spark (PySpark / Scala)
• Apply the Databricks ecosystem in a way that actually works in production
• Work with cloud platforms like Azure, AWS or GCP
• You write code that holds up in production (Python, SQL)
• Collaborate directly with clients on high-impact projects
• Contribute to our internal knowledge sharing and community, Real Databricks engineering work
• Work on modern data platforms built on Databricks
• No legacy-only environments. Focus on scalable Lakehouse architectures

A strong Databricks community

• Collaborate with like-minded engineers who specialize in Databricks
• Regular knowledge sharing, meetups, and internal guilds

Growth within the Databricks ecosystem

• Support for Databricks certifications (Associate & Professional)

Ownership & long-term impact

• Work closely with clients over a longer period
• Build, improve, and scale platforms you actually see running in production

Flexibility that works in practice

• Hybrid setup: client, office, and home

Do you have experience in Spark?, Do you have a Bachelor's degree?, The Data Engineer role is a senior position integral to our teams, so we ask for at least 5 years of relevant work experience. That said, we're always open to talent that stands out! If you have unique achievements, like contributing to open-source projects or founding your own startup, we encourage you to apply., Hands-on experience with the Databricks ecosystem (Delta Lake, PySpark, SQL, etc)

• Good coding skills that holds up in production (Python, SQL)
• Experience with cloud
• Familiarity with data modelling and ETL/ELT concepts
• Strong communication skills in Dutch and English

Nice to have:

• Databricks certifications (Data Engineer Associate, Professional etc.)
• Databricks Champion status
• Strong Spark background