Programming állás innen: Magyarország

2026. 02. 20. | Teljes munkaidõ | Pécs | Deutsche Telekom IT Solutions HUFocus and agile mindset. Creative problem-solver with a knack for evaluating technical solutions. OpenStack and open-source programming experience is a plus. Fluent in English, ready to work in compliance with EU data security standards. Ready to shape the future of cloud in Europe? Join us and make

2026. 02. 20. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUWith OpenStack or open-source programming is considered a plus

2026. 02. 20. | Teljes munkaidõ | Pécs | Deutsche Telekom IT Solutions HUWith OpenStack or open-source programming is considered a plus

2026. 02. 20. | Teljes munkaidõ | Budapest | SAPAnd spoken English •Over 7 years of experience producing high-quality, testable code in any object-oriented programming languages •Hands-on expertise ABAP

2026. 02. 20. | Teljes munkaidõ | Debrecen | Deutsche Telekom IT Solutions HUFocus and agile mindset. Creative problem-solver with a knack for evaluating technical solutions. OpenStack and open-source programming experience is a plus. Fluent in English, ready to work in compliance with EU data security standards. Ready to shape the future of cloud in Europe? Join us and make

2026. 02. 20. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUFocus and agile mindset. Creative problem-solver with a knack for evaluating technical solutions. OpenStack and open-source programming experience is a plus. Fluent in English, ready to work in compliance with EU data security standards. Ready to shape the future of cloud in Europe? Join us and make

2026. 02. 20. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUE.g., Ansible, Terraform). Strong knowledge of Python programming language, paradigms, constructs, and idioms Strong customer orientation and the ability to

2026. 02. 20. | Részmunkaidõ | MindriftDesign original computational STEM problems that simulate real scientific workflows. - Create problems that require Python programming to solve. - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non