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Data Platform Engineer (f/m/d) for the European AI Factory HammerHAI
Your Role and Responsibilities
- Developing and maintaining the data facility of the AI Factory, including its software environments, in the context of AI, HPC and data analytics use cases for modern AI, high-performance and cloud computing systems.
- Contributing to the initial (and evolving) service portfolio of the AI Factory within a friendly and open work environment in a highly motivated, international team.
- Supporting and enabling customers to publish, access and share their own AI data sets and models.
- Fostering contact with collaboration partners as well as stakeholders from the European AI ecosystem.
- Opportunities to work with national and European partners on novel AI R&D projects from the private and academic sectors.
- Maintaining relationships with technology providers and system developers (software/hardware).
Your Qualifications
Required/Minimum Qualifications: PhD or Master's degree in computer or data science, or other areas of scientific computing, or a Bachelor's degree with multiple years (>3) of applied data platform development / engineering / deployment experience and/or working with AI data management workflows, ideally as a senior engineer in research or enterprise environments.
Other Requirements:
- Proficiency working in data center environments (incl. Linux, Git, GitLab).
- Willingness to keep up with current developments and learn new technologies in the field of AI.
- Extensive knowledge and experience developing and working with data platforms, including their backend components, in the context of AI, HPC and data analytics use cases (preferably piveau, www.piveau.de).
- Extensive knowledge about and practical skills in specifying and implementing FAIR-aligned (Findable, Accessible, Interoperable, Reusable) data management workflows.
- Knowledge and experience developing integration layers for connecting data infrastructure with external data platforms, preferably through metadata standards.
- Knowledge about and practical skills in secure and compliant data management, including AI models as well as data privacy standards and legislation.
- Excellent English and preferably German presentation and writing skills.
Additional and Preferred Qualifications: knowledge and experience with dataspaces, ideally within the Common European Data Space initiative; knowledge and experience in software deployment and lifecycle management (ideally CI/CD); basic knowledge of software design and engineering; basic knowledge of IT and cybersecurity; experience with agile development methods.
Conditions
Working time: full time (40 hrs) / part-time possible, flexible working model. Contract duration: end of Q1/2028, further employment is intended. Remuneration: up to E 13, see Entgelttabelle TV-L. Annual leave: 30 days.
Benefits: up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, discounted sports facility membership.
What You Can Expect at LRZ
A multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service.
Please send complete application documents (cover letter, CV, certificates) as a PDF by 12.10.2026. Subject: Data Management Expert (2026/46).