As a Senior Data Engineer at DataAxis you work directly with our clients — from high-volume semiconductor manufacturing to global consumer brands — designing and building the data platforms and pipelines their analytics, ML, and AI depend on. You will be a senior, hands-on engineer who owns solutions end to end and helps set the standard for how we build.
What you will do
- Design and build batch and streaming data pipelines (ETL/ELT) on cloud platforms
- Architect lakehouse and warehouse solutions using the medallion (bronze/silver/gold) pattern
- Model analytics-ready data and define clear contracts for downstream teams
- Implement data quality, testing, observability, and orchestration
- Set up CI/CD and infrastructure-as-code for reliable, repeatable deployments
- Work on-site or embedded within client teams, and mentor more junior engineers
What you bring
- 5+ years of professional data engineering experience
- Strong Python and SQL; solid Apache Spark / PySpark
- Hands-on experience with Databricks and/or a major cloud (Azure, AWS, or GCP)
- Experience with dbt, Delta Lake, orchestration (Airflow/Dagster), and CI/CD
- A production-first mindset: testing, code quality, and maintainability
- Fluent English and strong communication; comfortable working with clients
- Based in or willing to work from the Netherlands (EU work authorization)
Nice to have
- Streaming experience (Kafka, Structured Streaming, Change Data Feed)
- Cloud or Databricks certifications (e.g. DP-203, Databricks Data Engineer)
- Experience in regulated or security-conscious environments
- Dutch language
What we offer
- Senior, varied work with recognised clients — no two projects alike
- A small, technical team that values craft over slideware
- Flexible, hybrid working from Delft and client sites
- Competitive compensation and room to grow into technical leadership