Data Platform Engineer; f/m/d) arbeitnow Ruhrdot Headoffice Onsite/Hybrid Essen
Verfasst am 2026-10-02
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IT/Informationstechnik
Cloud Computing: IT-Infrastruktur & Betrieb, Dateningenieur, Künstliche Intelligenz Ingenieur, Systemingenieur
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 Open Tofu as well as modern CI/CD processes
Design and evolve Databricks platforms regarding work spaces, 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
Type: Hybrid
Your missionWe 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 Open Tofu as well as modern CI/CD processes
Design and evolve Databricks platforms regarding work spaces, 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
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, Open Tofu, Bicep, or comparable technologies
A strong understanding of scalable, secure, and…
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