Data engineer állások, munkák it programozás, fejlesztés területen

• Üzleti igények strukturált összegyűjtése, megértése és egyeztetése
• Dokumentumok készítése (üzleti követelmények, specifikációk, tesztesetek)
• Döntéstámogató anyagok, riportok készítése
• CRM és low-code / no-code alapú megoldások beállítása, paraméterezése, üzleti tesztelése

• Design and oversee end-to-end data solutions
• Act as the main link between business stakeholders and technical teams
• Develop high-level designs and blueprints for data ingestion, processing, and storage

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices...

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• Translation of business challenges into practical, scalable AI-driven products
• Co-ownership of AI solution delivery with business stakeholders
• Leadership of entire product lifecycle from discovery to scaling

• Training and fine-tuning models against curated datasets
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements
• Packaging models with documentation, benchmarks, and reproducible evaluation results

• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models such as churn scoring to drive retention offers and product propensity scoring
• Translating business needs into actionable ML and AI solutions across marketing, customer care, and network operations

• Planning, design, implementation, and maintenance of Rust components and applications
• Collaboration with the Hungarian Data Science team to build a unified SDK for AI-based models integration into Aether
• Review of requirements and contribution to feature design

Identify, evaluate, and execute timely market opportunities and equity index options trading strategies to generate profits. This will involve equity index options and ETF options research and analysis for trade idea generation, testing, and implementation....

• 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 and continuously refine the product vision, roadmap, and backlog for the AI-driven reservoir simulator, aligned with business goals and market demands....

• 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

• Összehangolás operatív tervezési folyamatok Tribe szinten
• Kezelés felmerülő jelzések, elakadások és eszkalációk
• Tervezés folyamatok következő lépései
• Visszajelzés gyűjtés az érintettektől
• Javaslatok tétele működés fejlesztésére
• Támogatás priorizálásban, becslésekben és vállalások kialakításában

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Mapping and analyzing business needs and processes to support the development of digital products and data-driven solutions
• Creating specifications for IT development projects, especially for digital platforms and data-centric features

• Shaping transformations in S/4HANA projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios
• Executing SAP data migrations with guidance and support to colleagues