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

Description: Looking for an employer you can count on? Join us! 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 with opportunities to contribute with your own ideas 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, relying on your friendly personality and communication skills 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 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