Data Platform Engineer (f/m/d)

Ruhrdot Gmbh·Headoffice Onsite/Hybrid Essenmid

In short

→Ingeniero de plataforma de datos que construye y evoluciona plataformas cloud para AI y análisis.
→Trabajas con Terraform/OpenTofu, Databricks, CI/CD y arquitecturas escalables en Azure/AWS.
→Destacado: trabajo directo con clientes en arquitecturas de plataforma, con enfoque en automatización y gobernanza.

Good English skills

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The questions they'll ask you

1. ¿Cómo diseñarías una plataforma Databricks segura y escalable usando Terraform en Azure?

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia sólida en infraestructuras cloud modernas y arquitecturas de plataforma.
✓Conocimiento avanzado de al menos una nube: Azure o AWS.
✓Habilidades en Infrastructure as Code (Terraform, OpenTofu, Bicep).
✓Experiencia con Databricks: workspaces, compute, seguridad, gobernanza.
✓Habilidades básicas en Python y automatización mediante APIs.
✓Inglés avanzado (B2) y alemán C2.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AzureAWSTerraformOpenTofuDatabricksCI/CDGitPythonAzure DevOpsGitHub Actions

Who should you write to at Ruhrdot Gmbh?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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. 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. , 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.

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