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# Azure Cloud Databricks Engineer (German Speaking)

- **Company:** Steadman & Chase
- **Location:** Düsseldorf, Germany (Remote available)
- **Experience:** Experienced
- **Salary:** €85,000.0 - €100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, Github, Terraform, Jenkins, Databricks
- **Published:** August 31, 2026
- **Apply:** https://www.careerjet.de/jobad/de7fabdb4833b3339184d9aa33b9938115

## About the Role

* At least four years of relevant project experience in cloud infrastructure and engineering roles.

 * Deep hands-on expertise in Microsoft Azure infrastructure, with a clear focus on networking and storage.

 * Strong working experience with Databricks in production environments.

 * Proven capability with Terraform for Infrastructure as Code at scale.

 * Practical experience building and operating CI/CD pipelines with GitHub Actions and/or Jenkins.

 * Willingness to travel where programme delivery requires, with strong professional English and good German skills (B2 minimum).

## Description

We are supporting one of the world's leading professional services firms, delivering audit, advisory, consulting, tax and legal services to nearly 90 percent of the Fortune Global 500® and numerous private companies. With several hundred thousand employees worldwide, the firm operates at the forefront of cloud, data and AI transformation across enterprise clients.
As an Azure Cloud Data Engineer, you will build and further develop scalable, secure Azure-based cloud platforms within enterprise programmes spanning automotive, e-mobility and other sectors, working hands-on across infrastructure, automation and platform engineering.
Aufgaben

 * Platform Engineering: Build out and continually develop Azure cloud platforms with a focus on stable and scalable infrastructure components.

 * Infrastructure as Code: Design, implement and maintain Azure infrastructure with Terraform, with particular focus on networking and storage.

 * Data Platform Integration: Work alongside Databricks workloads, ensuring infrastructure supports robust data engineering and analytics use cases.

 * CI/CD & Automation: Build and maintain pipelines using GitHub Actions and/or Jenkins to support reliable, repeatable deployments.

 * Cross-Team Collaboration: Partner closely with design, implementation and operations teams across a mix of hands-on delivery and conceptual development.

 * Knowledge Sharing: Contribute to best practices, internal standards and reusable solution approaches across the wider engineering organisation.


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