Senior Data Platform Engineer (Azure, Databricks, Terraform)

Join a mature, in-production platform initiative for one of the largest financial services technology providers in Germany: a self-service platform that automatically provisions secure, compliant Databricks environments for banking clients, connecting on-premises data with the cloud.

Responsibilities  

• Contribute to building and evolving the platform that automates the provisioning of Databricks workspaces
• Write Terraform code for deploying and managing Azure infrastructure
• Develop orchestration and provisioning logic in Apache Airflow
• Build data synchronization pipelines between on-premises data lakes and the cloud platform
• Work on the governance layer, keeping Databricks governance in sync with on-premises data governance
• Collaborate with the client's engineering team, including quarterly on-site PI Planning weeks in Germany

Must Have

• Strong experience with Databricks (workspace administration, governance/Unity Catalog)
• Solid Terraform / infrastructure-as-code experience in Azure
• Apache Airflow for orchestration and automation
• Data engineering fundamentals: reliable data sync/integration pipelines
• Kubernetes experience (the platform runs on OpenShift)
• Senior-level autonomy: able to take ownership and challenge technical decisions

Nice to Have

• Docker / containerization: building and packaging platform components as container images for deployment on the Kubernetes-based runtime
• GenAI on Databricks (agents, RAG) — potential future direction, not a current requirement
• German (not mandatory; working language is English)
• Experience in regulated industries (banking / financial services)

As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.