Data engineer állások, munkák Külföldön

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design and build AI‑driven process architectures by integrating available AI platforms, technologies, agents, data, and knowledge sources....

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

Up for a new challenge? Join our Transaction Service team, where we combine operational excellence with strategic relevance, and put your finger right on the pulse of international business as we help our clients run their operations efficiently, securely and globally....

Own and continuously develop the Finance systems landscape from a business perspective, ensuring it supports Finance strategy, regulatory requirements, and business growth...

• Translate business requirements into analytics solutions and collaborate across the full project lifecycle.
• Operate and optimize data pipelines (ERP, S2P suite, AP, vendor master) with strong governance and master data management standards.

• Define, maintain, and evolve DLP governance requirements, internal security policies, and written rules in alignment with the ICT risk framework and regulatory expectations.
• Establish clear requirements for information handling, classification, data transfer, endpoint usage, and media protection etc.

• Contribute biological expertise and domain knowledge to the development, validation, and implementation of AI-supported candidate gene discovery approaches.
• Identify, analyse, integrate, and interpret complex multi-omics datasets to support candidate gene discovery and trait development.

• Autonomous analysis and documentation of client lifecycle and onboarding processes
• Encouraging innovation and maintaining links with different group departments
• Assisting in gathering and structuring business requirements in collaboration with business and IT stakeholders

• Own the full commercial performance of your categories, including P&L, inventory health, growth, and profitability drivers
• Define and execute category strategies based on customer behavior, market trends, competitor dynamics, and commercial opportunities

• Identify and analyze customer-specific requirements, and recommend process improvement strategies across all projects.
• Develop and standardize QA program for projects according internal and customer requirements.

• Lead the requirements during the BBP workshops.
• Translate business needs into clear, structured functional requirements.
• Support the Sr. Lead Consultant the coordination of business stakeholders and the delivery team (Configuration, data conversion and testing teams)

• Analyze available data sources for measuring the usage of AI-assisted software development tools (e.g., activity logs, usage metrics, prompt data, and other relevant sources)
• Define meaningful KPIs to measure adoption, engagement, productivity support, and potential quality-related effects

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization

• Support of the modules MM, PP, and EWM
• Management of various add-ins within the SAP modules
• Definition and documentation of business processes in MM, PP, and EWM
• Support for Key Users in the departments at our sites and subsidiaries

• Lead, mentor, and develop the Business Analytics team.
• Own and continuously improve executive dashboards, KPI frameworks, and reporting structures in Power BI.
• Support the development of our Microsoft Fabric data platform by integrating new business data sources and improving data pipelines.

• Lead, mentor, and develop the Business Analytics team.
• Own and continuously improve executive dashboards, KPI frameworks, and reporting structures in Power BI.
• Support the development of our Microsoft Fabric data platform by integrating new business data sources and improving data pipelines.

• Support project teams with the coordination and implementation of programme activities.
• Assist with the preparation and formatting of project documents, work plans, and other internal working materials.
• Support the development of PowerPoint presentations, videos and other visual materials.