Data engineer állások, munkák Németországban

Lead and collaborate with cross-functional teams to generate digital biomarker signatures from complex datasets using AI/machine learning, enabling target engagement assessment, patient stratification, and early signals of biological activity....

Ensuring close, effective and supportive interaction with category teams and management to deliver valuable data insights into decision-making processes for strategic, tactical and operative Supply Chain processes...

• Actively contribute to the global rollout of Microsoft Dynamics 365 Business Central across our subsidiaries
• Serve as the key interface between central IT, business stakeholders, and international entities to ensure alignment and process harmonization

Execute Treasury Frameworks: Manage the day-to-day E2E credit cycle for IRS and SFT, including the operational setup of limits, collateral monitoring, and tracking liquidations....

• Analyze labor market, product, and competitive data to identify trends and differentiation potential
• Translate insights into clear recommendations for product and go-to-market decisions
• Build data-driven narratives around value proposition, ICPs, and positioning

• Conducting tests as part of the software development lifecycle (SDLC), particularly during the initiation and feasibility phases
• Documenting processes, test results and relevant work steps

You will be closely working with our finance and controlling departments, locally and internationally, to understand their requirements and to provide a best practice approach for their business needs...

Requirement Gathering, Analysis and Impact Assessment: Gather business requirements and conduct thorough analysis. Understand the business goals fully and evaluate the impacts on the operating model and processes...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

Act as a Business Analyst within the Order Fulfilment (OF) workstream, managing end-to-end processes including sales orders, project creation, delivery, invoicing, and closure;...

Build and optimize financial data models using Excel, Power Query and Power BI to increase reporting reliability, speed and scalability....

Collaborate with cross-silo Operations and business stakeholders to deliver firm managed strategic change initiatives impacting the MSESE group in a project management office capacity...

Where you belong: Where you belong: ...

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

Taking over a role of senior responsibilities in the research activities of LRZ's BDAI team, addressing the enhancement of current and development of future LRZ AI service offers. Here you will be initiating and contributing to research projects, their preparation, applications for funding and...

Strategic HR Analytics: Develop and implement a global HR analytics strategy aligned with business objectives. Drive predictive and prescriptive analytics initiatives and translate complex data into actionable insights....

• Lead and collaborate with cross-functional teams to develop AI-driven biomarker signatures for target engagement, patient stratification, and early biological activity
• Design and apply computational pathology and AI approaches across diverse tissue types, disease areas, and clinical endpoints