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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Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/ruhrdot-gmbh/data-platform-engineer-headoffice-onsite-hybrid-essen-91985)