Data engineer állások Németországban egyetemi végzettséggel

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• Definition of IT standards for the areas of network, racks, cabling, and construction requirements
• Responsibility for the implementation according to the standard
• Performing on-site control of construction sites in all relevant phases

• Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
• Construct and refine (Gen) AI models, prompts, and related analytical components

Lead the design, implementation, and configuration of scalable data models based on complex functional and technical requirements, ensuring alignment with enterprise architecture...

• Leading the delivery of successful, business- and customer-focused data analytics solutions
• Applying high-quality and cutting-edge analytical approaches to solve complex problems and drive smart decision-making processes
• Continuously optimizing the data analytics framework

ensure the development and evolution of our Microsoft Azure big data platform to further strengthen any customer interaction worldwide...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

Support our development engineers in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains...

• Architect and implement a robust test data management strategy across environments
• Develop and maintain test environment management frameworks to streamline testing workflows
• Design and integrate automated test data pipelines into existing CI/CD and DevOps processes

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....