Data analyst állások, munkák Németországban

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Support of the modules MM, PP, and EWM
• Management of various add-ins within the SAP modules
• Definition and documentation of business processes in MM, PP, and EWM
• Support for Key Users in the departments at our sites and subsidiaries

The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. They...

Build and refine the forecasting models that directly shape our trading strategies and maximize the value of renewable energy in the market....

As Chief Engineer, you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. You are...

Represent Goldman in complex debt restructurings involving multiple stakeholders (creditors, sponsors, management teams, external advisors)...

If you are enthusiastic about shaping the future of mobility and aspire to grow into a key expert or leadership role in an international environment, this programme offers the ideal foundation for your career....

• Develop and drive the AI roadmap, translating business priorities into a portfolio of AI initiatives and ensuring alignment with the Freudenberg Group AI strategy.
• Identify, prioritize and manage a portfolio of AI use cases from business case development through implementation and value realization.

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

As the Data Center Engineering Operation (DCEO) Chief Engineer (CE), you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily...

As the Data Center Engineering Operation (DCEO) Chief Engineer (CE), you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily...

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

Execute customer, contact and pricing master data creation, updates, and corrections by applying defined request workflows, validation checks, and approval rules based on agreed data standards to support reliable performance of daily commercial activities...

• Design and maintain a Commerce-wide engineering metrics framework to track delivery health and team performance
• Review metrics health at team, product, and portfolio level to surface bottlenecks and delivery risks early

Design and maintain scalable Lakehouse architectures and data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to support analytics and AI products....

Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem...

None...

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

• Risk quantification, pricing, reserving and Solvency II analyses
• Development and automation of Excel- and Remetrica-based tools
• Use Python and AI assisted approaches to speed up data collection/validation, and improve reconciliation/movement analysis