Data Platform Engineer (f/m/d)

Your mission

We have challenging tasks for you:

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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