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Üzleti probléma és megoldás teljes körű megértése, az üzleti követelményspecifikáció véleményezése és jóváhagyása (átvétele)...

Focus on the medical applications of our ORBIS hospital information system, you will be responsible for customised configuration using our development tools (ORBIS Form Designer, ORBIS Medical Query Generator, ORBIS Experter, Jaspersoft® Studio, ORBIS U-Composer)...

• Implementation of technical solutions based on engineering business partner requirements using Python and CIM Database Product Lifecycle Management System
• Work in GIT lab CI/CD environment with Pycharm and JetBrain AI
• Development of add-ons and interfaces to automate and optimize business processes

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Design Unified Communications solutions across multiple platforms and customers
• Create design documents such as High-Level Designs (HLDs), Low-Level Designs (LLDs), and call flow diagrams
• Gather customer requirements and translate them into clear technical designs

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

• Design and implementation of Identity and Access Management (IAM) solutions within the product team "SAP IDM/GRC"
• Integration of the existing SAP IDM/GRC solution with other corporate applications and infrastructures focusing on modern SAP applications

• Design cloud architectures for digital products, data platforms, and AI-driven solutions on GCP, AWS or Azure
• Define end-to-end system architecture across data, services, and AI workflows
• Ensure scalability, maintainability, and long-term viability of architectural decisions

• Maintain a configuration management strategy for the EASA Design Organisation Approval
• Oversee the maintenance of configuration management database to ensure accurate and up-to-date information is available for all. Implementation of CM relevant Data in the Configuration Management PLM System

• Test and validate data recording and sensor calibration tools in testbench and real prototype vehicle environments
• Collaborate with various development teams to deliver technical solutions

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.