Data analyst állások Németországban egyetemi végzettséggel

• 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

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

Own and operationalize privacy-by-design and privacy-by-default across all stages of the product development lifecycle, from concept and architecture to development, deployment, and maintenance....

• 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

Provide technical engineering leadership and expertise in the design and development of LV, MV, UPS, energy storage and other applicable data centre electrical systems and solutions....

Assess the financial risks at both consolidated Group and individual legal entity levels, with the aim of producing insights that support risk mitigation strategies and policy recommendations....

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....

• Operating and extending technical and structural infrastructure components for highly secure environments, both for internal platforms and customer-facing projects
• Supporting security accreditation processes and administrating relevant systems and security technologies

• 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