Tools állás innen: Budapest

2026. 04. 10. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUClassification, and automation use cases - Provide feedback to DevOps and engineering teams to optimize automation and AI workflows - Assist in onboarding colleagues to AI-supported processes and tools Technical Environment Support - Basic troubleshooting and understanding of • Network technologies (routing

2026. 04. 10. | Teljes munkaidõ | Budapest | Schneider ElectricRequirements and create specifications based on the appropriate Schneider Electric offer to meet the customer needs - Build techno-commercial proposals by using standard tools and processes and integrating validated data provided by technical and commercial support functions. - Observe the main drivers

2026. 04. 10. | Teljes munkaidõ | Budapest | Syngenta GroupExperience with ERP systems (SAP experience is preferred) - Preferably experience with any digital transformation and/or tools - Fluent English language skills Additional

2026. 04. 10. | Teljes munkaidõ | Budapest | IQVIAOptimization Market Enablement & Capability Building Equip markets with practical tools, playbooks, and best‑practice guidance Support training

2026. 04. 10. | Teljes munkaidõ | Budapest | FrieslandCampina• Change Management • Project/Programme management • Lean, SCRUM and development of agile teams • HR systems/tools (telephony, HRIS, ATS, employee portal) • People Management • Communication skills • Relationship builder • Work well in a fast-paced/high complex working environment • Possess strong fact

2026. 04. 10. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUOf Linux, system tools and network related services. • Strong customer orientation. • Knowledge of agile development processes. •

2026. 04. 10. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUOf Linux, system tools and network related services. • Strong customer orientation. • Knowledge of agile development processes. •

2026. 04. 09. | Teljes munkaidõ | Budapest | Tech PeopleAnd deep understanding of query performance tuning in Redshift Solid understanding of data modeling principles, including dimensional modeling (Kimball), normalized models, and hybrid strategies Experience with monitoring tools (CloudWatch, Redshift Console) Familiarity with data versioning, CI/CD