Data Platform Engineer (f/m/d)

You work in a structured manner, think in terms of platforms and architectures, and implement technical solutions cleanly and sustainably.

• Sound experience in building modern cloud infrastructures and platform architectures
• Excellent knowledge of at least one cloud platform, ideally Microsoft Azure or AWS
• Experience with Infrastructure as Code, e.g., Terraform, OpenTofu, Bicep, or comparable technologies
• A strong understanding of scalable, secure, and maintainable system and platform architectures
• Experience with technologies in the Data & AI domain, particularly Databricks
• Knowledge in areas such as cloud networking, identity & access management, security, and governance
• Basic software development skills, e.g., with Python, as well as experience handling APIs and automation
• Experience with Git and CI/CD
• A solid understanding of the requirements that data, analytics, ML, and AI workloads place on a modern platform
• A completed degree in Computer Science, Business Informatics, or a comparable qualification
• The ability to quickly learn new technologies and apply them purposefully
• A structured, self-reliant, and solution-oriented way of working
• Very good German skills (C2) and good English skills
• We actively support your growth from specialist to trusted advisor. Further certifications (e.g., Databricks, Azure, AWS) are fully covered by us!
• Creative Freedom & Client Contact: You will develop target architectures, facilitate architecture workshops, and advise clients on equal footing during the implementation of their Data & AI strategies.
• Best-in-Class Setup: Work with state-of-the-art cloud technologies, cutting-edge tools, and premium equipment.
• Genuine Team Culture: International exchange, mutual support, and flat hierarchies. We collaborate on technical concepts and enjoy celebrating success together.
• Work-Life Balance & Flexibility: We embrace flexible working models—depending on the team and department, our colleagues work hybrid or remote-only. For this role, a hybrid model with 2 fixed work-from-home days per week is preferred to achieve the ideal balance of focus time and personal interaction. In the case of an absolute perfect match, we are naturally open to a full-remote option.
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