Data engineer állások, munkák Németországban

• 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

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

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

• 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

• 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

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Design, develop, and optimize vacuum pumps and compressors to meet product req uirements and ensure compliance with standards and legal requirements.
• Contribute to development projects from concept phase to serial production, collaborating closely with project managers and cross-functional teams.

• Lead the Acquisition Measurement team: own the Acquisition Marketing Measurement domain roadmap and prioritisation with stakeholders from both Business and Technical backgrounds.
• Contribute to OKRs and goals definitions: goals: develop clear and measurable targets based on an initiatives' scope.

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

• Design Optical network solutions for Data Centers and LAN projects using Corning products
• Create and check Bills of Materials (BOMs) for customer projects
• Support customers and sales teams with technical advice and solution design
• Turn customer requests (RFQs) into clear technical solutions

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

Taking responsibility: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. Security & Identity...

• Act as NIS2 Integration Expert, bridging the German KRITIS team with other EU member states' critical infrastructure teams.
• Manage Cross-Border Integration of security protocols, processes, and controls in accordance with NIS2.

• Lead the end-to-end network engineering scope for multiple BESS projects, overseeing design, deployment, commissioning, and transition into operations.
• Manage and coordinate internal engineers, integrators, and contractors, ensuring consistency, quality, and security across all network assets.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Development of robust, real‑time-capable controllers and online estimation of vehicle states
• Design and implementation of model‑ and data‑driven observers for environment estimation

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Ensure data quality within the Corporate Data Domain
• Perform data‑quality checks and drive corrective actions
• Analyse root causes of data issues and coordinate resolution
• Own and maintain the Corporate First Line Data Domain from a business perspective