Senior MLOps/Data Engineer Engineering LP PU Directions(Platform Products) Amsterdam, The Netherlands
Summary
Build and automate ML pipelines on Databricks, ensuring data/model observability, SLA/SLO compliance, and CI/CD for scalable AI services in a product-focused team.
- Automate jobs with Databricks Workflows and CI/CD (GitHub Actions or Azure DevOps)
- Implement data & model observability: freshness/completeness, drift (features/model), training/serving skew, SLA/SLO monitoring
- Ensure security & compliance
- Handle incidents and post-mortems for ML pipelines and serving infrastructure
What you'll need
- Excellence in Python software engineering and developing tests
- Fundamental understanding of Machine Learning
- 3+ years in Data Eng/MLOps roles
- Strong PySpark
- Hands-on with Databricks and Delta Lake
- CI/CD for data/ML (Git, PR workflow, automated tests, environment pinning)
- Monitoring and building dashboards
- Clear communication; operational-excellence mindset (SLA/SLO ownership)
What's nice to have
- Unity Catalog experience
- Databricks Feature Store
- Terraform for workspace/clusters/jobs/UC objects
- Telemetry domain exposure
- Optimize PySpark jobs (partitioning, caching, etc.) and cost (autoscaling, spot).
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