Data Platform Engineer (m/f/d)

For our Data & AI (Team Data Engineering) in Ulm we are looking for a Data Platform Engineer (m/f/d).

In today's fast-paced digital landscape, data is the foundation of business innovation and competitive edge. To harness its full power, we need a solid basis — a platform that not only stores data but transforms it into a catalyst for growth and discovery. This is where your expertise is invaluable.

We're seeking a Data Platform Engineer (m/w/d) with a knack for problem-solving and a passion for technology to join our team. Your mission will be to develop and maintain our data ecosystem, using Databricks to create a seamless, scalable platform. Your work will be critical in enabling the Liebherr Group to process and analyze data more effectively, turning complex datasets into valuable insights.

If you're ready to take on the challenge of building the backbone of our data operations and contributing to our AI initiatives, we're looking for you. Join us and become a key contributor to our journey toward a data-driven future.

Creating passion: your responsibilities

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas
• Maintain our stack by extending our setup with security measures, monitoring, auditing, policies, and (data) observability
• Build tools, templates, and processes (e.g. CI/CD) for efficient data ingestion and management
• Enable colleagues from the Liebherr Group by providing guidance, best practices, and blueprint architectures
• Support Data Scientists and Data Engineers with Data and AI tooling

Contributing your strengths: your qualifications

• M.Sc. Computer Science or related technical field with a focus on (Data) Platform Engineering
• Proficiency in building secure and scalable data platforms using cloud technologies with focus on security, networking, authentication, etc.
• Proficiency with cloud providers (e.g. Azure, AWS) and container technologies (e.g. Docker, Kubernetes)
• Proficiency with CI/CD (preferably GitHub Actions) and IaC (preferably Terraform / Terragrunt)
• Experience with Databricks / Spark, data lakes as well as SQL- and NoSQL databases
• Experience with development and operation of distributed systems
• Excellent programming skills (e.g. Python or GoLang) and basic experience with Data Science or Machine Learning
• Excellent spoken and written communication skills in German & English

Our commitment to you: your benefits

A challenging and interesting range of activities awaits you at Liebherr in an internationally successful Group. We offer you a secure job with the social contributions of a modern organisation and pay a performance-based salary.

Profit from these benefits:

• Attractive remuneration and social benefits
• Flexible and hybrid working (onsite combined with mobile)
• Space for creative working