Data Platform Engineer (f/m/d) for the European AI Factory HammerHAI

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 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 to learn new technologies in the field of AI
• Extensive knowledge and experience in 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 in 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 software lifecycle management (ideally based on principles of continuous integration/continuous deployment, CI/CD)
• Basic knowledge and practical skills in software design and engineering
• Basic knowledge and practical skills in IT and cybersecurity for software and software platform development
• Experience with agile development methods

Conditions:

Working time

full time (40 hrs) / part-time possible

flexible working model with electronic time recording

Contract duration

End of Q1/2028 , further employment is intended

Remuneration

up to E 13, see  Entgelttabelle TV-L

Annual leave /                   compensatory time off

30 days

(24.12. + 31.12. additionally day off)

Overtime is compensated by additional time off

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, Cooperation Agreement with Sports Facility Providers for Discounted Membership

What you can expect at LRZ:

Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. W e actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).

Further information:

We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by  latest 12.10.2026.

Subject:  Data Management Expert (2026/46)

Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions.

This job does not fit? Then take a look at  https://www.lrz.de/en/careers/current-vacancies   or send us an unsolicited application!

Here   you will find information about the collection of personal data during the application process.

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 15. Okt. 2026

Veröffentlicht am 10. Okt. 2026