Data Platform Engineer (m/f/d)

Your responsibilities

• Improve and extend the current analytics 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

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 offer

If you're ready to take on the challenge of enhancing our data infrastructure 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.

Das Unternehmen

Die Liebherr-Digital Development Center GmbH entwickelt am Standort Ulm digitale Lösungen für die gesamte Firmengruppe Liebherr. Unser passioniertes Team aus den Bereichen Software Development, Engineering und Data Science arbeitet gemeinsam an verschiedensten Projekten aus der gesamten Liebherr-Produktwelt. Unsere Mission: einzigartige digitale Erlebnisse schaffen!