Data engineer állások Külföldön (it programozás, fejlesztés)

• Develop and integrate AI (Artificial Intelligence) components (LLM agents, RAG pipelines, API integrations) into existing platforms
• Develop software using TypeScript in modern technology stacks (NestJS, Vue 3), including testing and code reviews

• Partner with , Marketing, and Communications, worldwide, translating business priorities into application roadmaps and digital initiatives.
• Own the application portfolio lifecycle: demand, business analysis, solution selection, delivery, support, improvement and retirement.

• 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.

• 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.

• 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