Senior Data Engineer (gn) - Focus on Databricks

Das ist der Job

Would you like to shape the future?

Darum lohnt es sich

Then become part of our team now! You will develop scalable workflows, optimize our Lakehouse structures, and collaborate closely with DevOps and Data Science teams on demanding end‑to‑end use cases.

You can expect a modern toolchain, flexible working models, and remote options within an environment focused on technical excellence, collaboration, and flat hierarchies empowering you to tackle complex challenges and truly make a difference. What you can look forward to: Want a quick overview of our benefits?

Work‑life‑balance: 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, afterwork, parties, ...) Our in‑house kitchen provides a delicious lunch at a fair price Send us your CV and references quickly and easily using the "Apply Now" Button.

E-Mail: karriere@controlexpert.com; Homepage: www.controlexpert.com #J-18808-Ljbffr As an established market leader, ControlExpert has been processing over 20 million vehicle claims per year since 2002 with more than 1,200 employees worldwide.

In our role as a digitalization expert, we combine AI-based processes and the latest technologies with the knowledge of our automative experts. Together with CE’s in-house research and development department, we are working to realize our vision: Car drivers around the world will have their claims fairly settled on the very same day.

What you can expect from us: Clean data architectures, high‑performance data pipelines, and automated deployments will be at the core of your work.

These are your responsibilities: Design our Databricks architecture and optimize jobs and configurations Develop scalable data pipelines and orchestrate robust workflows Build and automate CI/CD paths 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 What we would like from you: Qualification: Several years of experience in Data Engineering (ideally 3+ years) Expertise & Know‑how: Strong hands‑on Databricks experience, including workspace administration, Delta Lake, and performance tuning Technology Skills: Solid knowledge of AWS services (e.g., S3, Lambda) Mindset: Analytical thinking, high initiative, and a passion for advancing technology Tooling: Experience with infrastructure‑as‑code, especially Terraform Nice to have: Experience with streaming (Kafka/Kinesis), understanding of Agentic‑AI architectures and their data requirements.

German language skills are a plus. Click here! We do not need a cover letter. We'd rather get to know you in person! We look forward to hearing from you! Do you have any questions?