Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
About the role
- Senior Data Engineer focusing on Databricks in a market-leading company. Designing data architectures and optimizing data workflows in a collaborative environment.
Responsibilities
- Design our Databricks architecture and optimize jobs and configurations
- Develop scalable data pipelines and orchestrate robust workflows
- Build and automate CI/CD pipelines for data workflows in Databricks
- Create versioned and reliable data pipelines for Agentic AI and GenAI use cases – including automated data preparation in collaboration with Data Scientists
- Develop containerized solutions and collaborate closely with DevOps (Docker, Kubernetes) – including monitoring, self-healing, and infrastructure-as-code
- Align with Data Science and business units to ensure a scalable and stable data supply for our Agentic-AI platform
- Evaluate new technologies, define best practices, and actively contribute to the evolution of our technical standards
Requirements
- Several years of experience in Data Engineering (ideally 3+ years)
- Strong hands-on Databricks experience, including workspace administration, Delta Lake, and performance tuning
- Solid knowledge of AWS services (e.g., S3, Lambda)
- Analytical thinking, strong initiative, and a passion for advancing technology
- Experience with infrastructure-as-code, especially Terraform
- Nice to have: Experience with streaming (Kafka/Kinesis) and an understanding of Agentic-AI architectures and their data requirements
- German language skills are a plus
Benefits
- Flexible working hours with ~80% remote work
- Fitness and wellness offers via Urban Sports Club
- Discounted Allianz products (insurance, pensions, investments)
- Bicycle leasing via JobRad
- Private leasing options for the latest tech devices
- Many employee events (sporting events, afterworks, parties, ...)
- Our in-house kitchen provides a delicious lunch at a fair price
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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