Data Platform Engineer (f/m/d)

Ruhrdot Gmbh - Headoffice Onsite/Hybrid Essen - Global - Construction & Infrastructure


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

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