Data Platform Engineer (f/m/d) arbeitnow Ruhrdot Gmbh Headoffice Onsite/Hybrid Essen · 9/30/2026

Primetime; Essen; Hybrid; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Primetime in Essen, Germany is hiring a Data Platform Engineer to build and evolve modern cloud platforms for Data & AI. You will design scalable, secure, and cost-aware solutions that support analytics, data engineering and AI use cases.

You will work with Terraform/OpenTofu and CI/CD, manage Azure or AWS infrastructures, and contribute to Databricks platform governance, security, and performance, in a hybrid work setup.

Qualifikationen

• Experience building modern cloud infrastructures and platform architectures.
• Strong knowledge of Azure or AWS cloud platforms.
• Proficiency with Infrastructure as Code tools (Terraform/OpenTofu/Bicep).
• Understanding of secure, scalable, maintainable platform designs.
• Experience with Databricks and data/AI workloads.
• Familiarity with CI/CD and Git workflows.
• Bachelor’s/Masters in CS or equivalent qualification.
• Excellent learning ability and structured, solution-oriented work style.
• Very good German (C2) and good English.

Aufgaben

• Design, build, and evolve cloud-based Data & AI platforms.
• Create platform strategies and target architectures with clients.
• Design scalable architectures for data-driven solutions.
• Provision cloud infra on Azure or AWS via IaC.
• Work with Terraform or OpenTofu and modern CI/CD processes.
• Evolve Databricks platforms: workspaces, compute, networking, identity, security, governance.
• Establish best practices for performance, security, governance, and cost.
• Develop reusable platform blueprints, standards, and automations.
• Evaluate new technologies and integrate them into existing architectures.
• Support data/analytics/AI teams with stable, high-performance platforms.
• Contribute to technical concepts and architecture workshops with the team.

Kenntnisse

Cloud infrastructure

Platform architectures

Azure or AWS

Infrastructure as Code

Terraform

OpenTofu

Bicep

Git & CI/CD

Databricks

Python

German & English

Ausbildung

Degree in Computer Science or Business Informatics

Tools

Terraform

OpenTofu

Bicep

GitHub Actions

Azure DevOps

Databricks

Jobbeschreibung

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

Type: Hybrid

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