As a Data Platform Engineer, you will be responsible for building and evolving modern cloud platforms for Data & AI. Together with our team and our clients, you will develop platforms that can be operated in a scalable, secure, and sustainable manner.
In doing so, you will combine cloud infrastructure, platform architecture, and modern Data & AI technologies into solutions that create a stable foundation for analytics, data engineering, and AI use cases.
In detail, you will:
Design, build, and continuously evolve cloud-based Data & AI platforms
Develop platform strategies and target architectures together with our clients and implement them technically
Design scalable and robust platform architectures that serve as a foundation for data-driven solutions
Provision modern cloud infrastructures on Azure or AWS automatically using Infrastructure as Code
Work specifically with Terraform or OpenTofu as well as modern CI/CD processes
Design and evolve Databricks platforms regarding workspaces, compute, networking, identity, security, and governance
Make architecture decisions and establish best practices for performance, security, governance, scalability, and cost optimization
Develop reusable platform blueprints, standards, and automations
Evaluate new technologies and platform components and integrate them meaningfully into existing architectures
Support data, analytics, and AI teams by providing stable and high-performance platforms
Contribute to technical concepts, architecture workshops, and the further development of our standards together with our team
Your profile
What we are looking for
You work in a structured manner, think in terms of platforms and architectures, and implement technical solutions cleanly and sustainably.
Ideally, you bring to the table:
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
What we would also be happy to see:
Experience with Databricks Unity Catalog and governance concepts
Experience with Azure Private Link, VNet Integration, or comparable AWS networking concepts
Knowledge of Azure DevOps, GitHub Actions, or comparable CI/CD solutions
Experience with Microsoft Fabric, Azure Data Factory, or other data platform technologies
Experience with Landing Zones, platform blueprints, or standardized cloud deployments
Experience in client projects and technical architecture workshops
Certifications in the context of Databricks, Azure, or AWS
Why us?
Are you looking to design and build modern Data & AI platforms in the cloud and actively shape the technical future for our clients?
Do you think in terms of platforms and architectures, enjoy working hands-on with Infrastructure as Code, and want to create sustainable foundations for data and AI applications?
What awaits you with us: High-end tech & genuine appreciation:
Modern Platform Engineering: You will design and automate scalable cloud Data & AI platforms on Azure or AWS. We rely on clean code (e.g., with Terraform/OpenTofu), CI/CD, and reusable platform blueprints—no quick-and-dirty hacks.
Databricks & Governance Excellence: Whether it's Unity Catalog, workspaces, cloud networking (such as Private Link), or Identity & Access Management—you will design secure, high-performance Databricks environments based on top best practices.
Steep Learning Curve toward Core Expertise: 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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