Data engineer állások, munkák it programozás, fejlesztés területen

• You support data analytics activities using KNIME, Excel and other analytical tools.
• You analyse large datasets, identify patterns, anomalies and potential risks, and help translate data into meaningful audit insights.

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése és pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

• 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

Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts...

• Folyamatos kapcsolattartás az üzleti terület IT képviselőivel
• Rendszerszervezési tudást igénylő szakmai feladatok végrehajtása és dokumentálása
• Komplex szakértői közreműködés dokumentációk és folyamatábrák készítésében

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

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

Design, develop, and maintain AI agents for manufacturing use cases (e.g. quality inspection, anomaly detection, process optimisation), using machine learning, deep learning, GenAI, rules, and reasoning....

• Elicitation of business needs through stakeholder workshops
• Creation of user requirements specifications (URS) and functional specifications (FS)
• Development and maintenance of requirements traceability matrix (RTM)
• Evaluation of impact of proposed system changes on validated state

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

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....

• Ensure accuracy, reliability, performance, and compliance of AI models and systems across development, testing, deployment, operational use, and feature enhancement
• Develop and execute test plans and validation frameworks for AI products, ML solutions, LLM applications, and agentic systems

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team for customized visual analytics

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...

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery
• Own data storage and pipeline architecture including integration with streaming/event infrastructure
• Implement authentication and authorisation in line with cloud identity and access management

• Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
• Ensure high availability and reliability for multi-agent AI systems
• Enable secure enterprise-grade AI deployments
• Architect Zero-Trust environments for LLM-based solutions

• Define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.
• Lead, develop, and grow a team of product managers, fostering a culture of ownership, collaboration, and continuous improvement.

• Support our customers on their transformation to SAP S/4HANA / Intelligent Enterprise.
• Delivery of remote and onsite services together with our experts for global customers with focus on system optimization, conceptual planning as well as empowering the customers with newest best practice knowledge.

• Részvétel egy milliós nagyságrendű ügyfelet kiszolgáló termék fejlesztésében
• Pénzforgalmi folyamatok fejlesztési projektjeiben való részvétel
• Nemzetközi pénzforgalmi igények feltárása, elemzése, javaslattétel, koncepció kidolgozása (üzleti, műszaki és fejlesztési igények)

• Informatikai fejlesztési projektekben való részvétel
• Üzleti igények felmérése
• Érintett rendszerek meghatározása
• Függőségek és előfeltételek vizsgálata
• Pénzforgalmi folyamatok fejlesztési projektjeiben való részvétel
• Üzleti szakterületek IT oldali támogatása
• Üzleti követelmény specifikációk elkészítése