2025. 12. 19. | Teljes munkaidõ | Dunavecse | Schneider ElectricOperations, including reception, storage, order preparation and shipments according to SPS principle. Measures and analyzes warehousing performance (cost and service) and implement corrective actions. Manages projects to design and optimize warehousing processes. Your responsibilities Define the internal
Nézze később2025. 12. 09. | Teljes munkaidõ | Budapest | SupplyOnReasoning and task planning to tool use and long-term memory Shape the AI infrastructure layer that enables orchestration across services, APIs, and events Prototype and iterate on system components such as agent runtimes, orchestration logic, context storage, tool interfaces, and messaging layers
Nézze később2025. 11. 28. | Teljes munkaidõ | Budapest | ClouderaAnd infrastructure supporting Cloudera-based data platforms. Evaluate and recommend the optimal cloud infrastructure (compute, storage, networking) for scalability, performance, and cost efficiency. Develop and maintain a multi-year roadmap for integrations across AWS, Azure, and GCP. Collaborate with cross
Nézze később2025. 11. 13. | Teljes munkaidõ | MabanaftOiltanking Deutschland has been active in the tank storage logistics sector since 1972 and is one of the largest independent partners for the storage of liquid fuels in Germany. If it's liquid, we store it! We are looking for you to join our team at our Budapest, Hungary location as a Terminal
Nézze később2026. 03. 10. | Teljes munkaidõ | Budapest | haysActive Directory, Microsoft 365, patch management és storage rendszerek adminisztrációja, adatközponti támogatással - Incidensek gyökérok‑elemzése, tartós megoldások kidolgozása és üzemeltetési kockázatok kezelése a szolgáltatás‑folytonosság érdekében - Részvétel Change Control Board folyamatokban, OLA
Nézze később2025. 11. 14. | Teljes munkaidõ | Budapest | haysIncluding Spark Streaming - columnar storage solutions like Apache HBase; including knowledge about data modelling for columnar storage - experience with Event Streaming Platforms like Apache Kafka - knowledge about data architecture you are aware of the concept of data warehouse, data lake; - experience
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