Data analyst állások, munkák Németországban

• 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...

• 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

• You lead and develop a team of IT professionals, focusing on coaching, performance management, and fostering a high-performance culture.
• You assume End-to-End Service Ownership for critical ERP applications (SAP ECC/S/4HANA), ensuring optimal functionality and timely incident resolution.

• The product roadmap and the reasoning behind it: what we build next, in which order, and what we decline.
• The boundary between standard product, configuration, and manual work for one customer.

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

Design, implement, and maintain data pipelines that integrate multimodal, structured and unstructured clinical and surgical data from proprietary data collection systems and electronic health record systems, supporting both retrospective analyses and secure live or near-real-time data flows in...

The Data Center Engineering Operations Engineer is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.) within the data center environment in a specific...

• 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.

Drive Sustainable Product Growth: define and execute the long-term retail lending strategy to expand the customer base, unlock new opportunities, and sustainably increase product adoption....

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

Lead the lifecycle of ICT risk assessments, from initial risk identification and execution to final remediation monitoring....

Architect AI Workflows: Design, deploy, and govern E2E, multi-step Agentic AI solutions and automations that target high-volume processes, cross-team friction, and manual back-office tasks....

• Keep the operational backbone running – ticketing, HubSpot, and our data room (Dock), clean and up to date.
• Take customer questions and route them internally – the "travel agent" who gets every request to the right people fast.

• Single point of contact for the research faculty and group leaders on specialist IT, data and computing needs
• Assessment of research IT needs and their translation into actionable demands
• Onboarding and key user management: making sure that our researchers can work productively from day one

• The customer from the first calls on: take apart their decision problem live, pre-sales, and turn it into a first mini model.
• Scope and lead the development project end-to-end; own the result, not just the planning and organisation.

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

Support end-to-end governance of third-party relationships — onboarding, oversight, contract governance, performance monitoring, and exit planning — ensuring compliance with internal policies and regulatory requirements....