Senior Data Platform Engineer – Azure, Databricks, Terraform

• Contribute to building and evolving a self-service platform that automates Databricks workspace provisioning
• Write Terraform code to deploy and manage Azure infrastructure
• Develop orchestration and provisioning logic in Apache Airflow
• Build data synchronization pipelines between on-premises data lakes and the cloud platform
• Maintain synchronization between Databricks governance and on-premises data governance
• Collaborate with the client's engineering team
• Attend quarterly on-site PI Planning weeks in Germany

• Strong experience with Databricks, including workspace administration and governance/Unity Catalog
• Solid Terraform/infrastructure-as-code experience in Azure
• Apache Airflow experience for orchestration and automation
• Data engineering fundamentals, including reliable data synchronization/integration pipelines
• Kubernetes experience; the platform runs on OpenShift
• Senior-level autonomy, ownership, and ability to challenge technical decisions
• Docker/containerization experience is nice to have
• GenAI on Databricks experience is a potential future direction, not a current requirement
• German is not mandatory; working language is English
• Experience in regulated industries such as banking or financial services is nice to have

• Medical benefits
• Gym support
• Personalised fitness options
• Team events
• Healthy Habits Club
• Flexible work-life dynamic
• Mental wellbeing support
• Social wellbeing initiatives
• Hybrid-environment community activities