Data engineer állások, munkák Németországban

• 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...

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

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...

Identify and prioritise high-leverage AI and automation opportunities – and ship them, end to end....

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;...

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...

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

Where you belong: Where you belong: ...

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

Build working software end-to-end in AI-native tooling: Claude Code, Cursor, Replit, v0, Lovable, or equivalent. You are fluent across at least several of these and you experiment with new ones....

• 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...

Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards....

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