Data scientist Jobs in Dresden

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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.

Tasks

• 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.

Aufgaben

• Build out and continue developing a scalable, secure Azure cloud platform supporting a complex automotive and e-mobility data landscape.

• Design, implement and maintain Azure infrastructure with Terraform at scale, with a clear focus on networking and storage.

• Work alongside Databricks workloads, ensuring the underlying infrastructure properly supports production data engineering and analytics.

• Build and maintain CI/CD pipelines with GitHub Actions and/or Jenkins for reliable, repeatable deployments.

• Collaborate across design, implementation and operations teams on a mix of hands-on delivery and platform-level conceptual work.

Qualifikation

• Deep hands-on experience with Microsoft Azure infrastructure, particularly networking and storage.

• Proven Terraform delivery at scale in production environments.

• Strong working experience with Databricks in production.

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

• Track record in cloud platform or infrastructure engineering roles, ideally with exposure to large enterprise programmes.

• Professional English plus German at B2 minimum.

Benefits

• Engage on a high-profile automotive / e-mobility programme delivered through one of the world’s leading professional services firms.

• Best-in-class learning and development through the firm’s internal academy and individual qualification and certification programmes.

• Comprehensive development opportunities through structured career planning, inclusive leadership, secondment programmes and project-based job rotation.

• Strong work-life balance through mobile working, part-time options, sabbaticals and family services, including support for carers and parental leave.

• Health and fitness initiatives including regular health days, partnerships with fitness providers and support for sports and team events.

• Attractive benefits including bike and car leasing, a company smartphone for private use, and flexible working models such as trust-based working hours and EU remote working.

• Broad scope for personal contribution and active promotion of an inclusive corporate culture, including diversity and inclusion employee networks.

Steadman & Chase is a London and Düsseldorf-based boutique headhunting firm trusted by market-leading organisations across Legal, and Technology.

We specialise in placing elite talent, particularly Magic Circle and Am Law 100 trained legal counsel alongside leading technology specialists, to address a key gap in this niche, where 2026’s demand for AI literacy, data privacy, cybersecurity, regulatory compliance, and tech-hybrid proficiency is highest.

Through our proprietary Talent Vault™ framework, we deliver talent shortlists in as little as 48–72 hours, supported by sophisticated off-market execution, market mapping, and benchmarking that directly address 2026’s non-equity partnership dynamics, AI-driven workflow shifts, regulatory pressures, and compensation challenges.

Our core regions are EMEA, The Americas, and APAC.