Data engineer állások, munkák Németországban

• Development and implementation of interfaces between clinical data sources, medical knowledge bases, and local LLM/agent-based systems
• Development of high-performance data pipelines for loading, structuring, validating, and further processing interoperable health data

Own and develop the integrated buy-side and sell-side pricing framework across both our Consumer Electronics and our Media business, for fast and slow turners, ensuring buy prices are explicitly connected to sell-side economics; this includes designing and continuously optimising the data-driven...

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework

Second-Line Oversight: Provide independent oversight and constructive challenge of the Consumer Deposits operational risk profile. Review and challenge first-line risk assessments, control design and effectiveness conclusions, ratings, remediation plans, and risk-acceptance decisions, escalating...

Tax Processing • Work effectively across geographical and functional boundaries demonstrating strong relationship skills. • Support of operational functions within the Tax operations space, including but not limited to withholding tax, tax reclaim and documentation, transactional taxes, audit, and...

• Formulate a focused research question in alignment with business and academic supervisors
• Conduct a structured analysis of relevant supply chain, planning, or transformation processes
• Develop and validate a practical, data-driven solution for the defined business challenge

• Take ownership of IT risk, business continuity and operational resilience activities.
• Assess complex IT, vendor, solution and process-related risks and provide clear, actionable recommendations.

• Each project starts with an open decision problem and incomplete ERP and Excel data. The customer needs to know early which result the available data supports.
• We run several customer projects in parallel, without a standard process for kickoff, scoping, data and first result.

Lead the maintenance, development and continuous enhancement of the Antimicrobial Sales and Use (ASU) Platform and its associated digital tools and processes, including visualisation tools and Power BI dashboards supporting surveillance outputs....

• Identify, analyze, and continuously improve processes across Science operations
• Drive the development of robust and future-oriented process solutions and standardize best practices
• Define and track KPIs and build dashboards and performance reviews together with operational teams

• Define and further develop the Snowflake platform roadmap in alignment with enterprise data strategy and business priorities
• Establish the platform vision and manage priorities, demand intake and business requirements to maximize business value and support strategic objectives

• 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

• Further development of ESO's Requirements Management Tool.
• Support the Configuration & Asset Management for the ELT.
• Automation of hardware configuration and documentation management by using AI/ML.
• Support the Verification Management for the ELT.

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate

Develop and execute ALTANA“s procurement digitalization strategy using digital technologies, data, and AI to improve performance, value creation, and drive the long-term evolution of the global procurement organization...

Support the evaluation of private debt fund investments through qualitative and quantitative due diligence, including analysis of investment strategy, restructuring capabilities, ESG integration, historical performance, and return expectations...

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....

Our Berlin Technology Centre has a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies. You will work alongside the brightest minds in the business, as you develop your digital skills and explore where...