Data engineer állások, munkák

• Take ownershipof the pricing tool used by the commercial department
• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring

Own the integrated buy-side and sell-side pricing framework across Consumer Electronics and Media for both fast- and slow-moving inventory. Ensure buy prices are explicitly tied to sell-side economics by designing, optimizing, and scaling a data-driven pricing engine and establishing its...

• Executing system data maintenance and administrative activities in Cornerstone and relevant learning management systems
• Providing non-systems related learning process support

• Conduct independent ex-ante and ex-post risk analysis across equity, fixed income, multi-asset and alternative strategies
• Monitor portfolio risk exposures including VaR, tracking error, factor exposures, concentration limits, liquidity risk

• Managing and preparing monthly and quarterly closing
• Ensuring accuracy and compliance with internal financial standards
• Preparing pre- and post-calculations to support decision-making and cost transparency
• Contributing to the development of financial plans, forecasts, and analytical reports

• In your new role, you support the project team with day-to-day tasks such as mass changes.
• In addition, you are responsible for managing your own small projects from initiation through to full completion, as well as providing reports and supporting optimization projects.

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...

• 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

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• 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.

• 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

• Analyse customer, product and sales performance
• Develop KPIs, dashboards and management reporting
• Evaluate customer profitability, sales effectiveness and growth opportunities
• Support customer segmentation and account prioritisation
• Contribute to commercial planning and decision-making

• Execution of specified Accounts Payable projects
• Support of ongoing system and process migrations
• Invoice troubleshooting
• Accounts Payable accounting support
• Vendor master data clean-up
• Disbursement-related tasks including payment forecasting
• Building strong operational knowledge

• 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.

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• 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

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...

• Look beyond stated requirements for better ways to solve client problems, whether through Salesforce, AI or a smarter process
• Identify opportunities for Agentforce, Data 360 and other new capabilities, and turn them into use cases, prototypes, POCs and pilots