Senior Data Platform Engineer – Azure, Databricks, Terraform
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Job Description
Senior Data Platform Engineer automating secure Azure-Databricks platforms for banking clients. Building Terraform infrastructure, Airflow orchestration, and cloud data synchronization pipelines.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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