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• Design end-to-end experiences across mobile and web, helping fans discover, consume, and engage with football content.
• Partner with cross-functional teams to solve user and business problems across areas such as media, OTT, subscriptions, and commerce.

• Design, build, and maintain modern web applications across the full stack
• Develop rapid prototypes and proof-of-concepts to validate business ideas
• Build AI-powered applications using modern LLM technologies, APIs, and cloud services

Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:...

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Support, invest in and develop an incredible team of talented and motivated engineers with clear expectations via practices such as 1:1s, goal setting, and constant feedback.
• Recruit, manage and retain the best talent for the delivery teams.

• Build and improve digital learning solutions that help people find and use knowledge more easily.
• Connect learning tools with other systems such as ERP, CRM and collaboration platforms.
• Create learning experiences directly within the product, so users can learn while they work.

• Define and enforce design standards, guardrails and architecture documentation (data model, access control, integrations)
• Lead solution design and architecture decisions with focus on Sales and Service Cloud , ensuring consistency and scalability across implementations

Why Now? The energy market is going through its biggest shift in 50 years. We no longer just manage electricity, we make it intelligent. RABOT is growing triple digits — and as we grow, so does our Energy Data Management team. Now is the perfect time to join: you won't learn inside a finished...

• Building infrastructure for FAQs, self-service pages, and chat platform as a primary support channel
• Enabling smarter customer interactions
• Automating solutions
• Helping other teams deliver better support experiences
• Delivering seamless, impactful solutions across all Wise platforms

• Supporting clients in making planning, construction, and operational processes more efficient and transparent through digital modeling technologies
• Implementing and establishing BIM standards
• Working actively with Autodesk Revit to create and coordinate models

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction by identifying architectural pain points and improving engineering standards

Junior Data Engineer (a) Imagine using your data engineering skills to improve the way cardiovascular health is monitored and managed. Hilo by Aktiia is redefining blood pressure monitoring through AI-driven optical technology built on more than 20 years of research at the Swiss Center for...

• Coordination between cross-functional, geographically distributed project teams
• Handling interdependencies and supporting lead project governance bodies and project workstreams
• Collaboration with team members for timely and excellent execution of programs

What you'll do: The Role: As a Senior Full Stack Developer (f/m/d) for Sustainable Sovereign Cloud, you will join a technology-focused team of developers, architects, and project managers, shaping future generations of SAP software. In this role, you will work on the future of European cloud...

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Design and own secure, scalable services end-to-end
• Guide technical decisions and evaluate trade-offs across reliability, performance, maintainability, and cost
• Architect and deliver AI and agentic product capabilities including LLM integrations, multi-step agentic workflows and intelligent automation

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

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• Servicenow platform testreszabása és fejlesztése az üzleti igényeknek megfelelően
• Integrációk tervezése és megvalósítása meglévő rendszerekkel
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• Folyamatos együttműködés a projektcsapattal és a belső ügyfelekkel

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