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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