2024. 04. 27. | Teljes munkaidõ | Szeged | Rebels Software Sp. z o.o.To hire both experienced and mid/senior level Embedded Software Engineers to join our team. In these roles, you will be a member of our cohesive IoT solutions team working in a modern agile environment. You and your colleagues will design, develop, test, document, and deliver embedded software components
Nézze később2024. 04. 27. | Teljes munkaidõ | Szeged | KLDiscoveryView, validate, and perform quality control for document volume and production sets. Law firms, service providers, consultants, and corporations all use ReadySuite to assist their e-discovery workflow when handling documents. Remote, work-from-home opportunity. Qualifications 3+ years of experience
Nézze később2024. 04. 27. | Teljes munkaidõ | Szeged | ContinentalTechnologyCreating project and machine documentationOptimizing and adjusting control processes due to the customer’s demandsCommissioning of production machines worldwideQualificationsUniversity degree in electrical engineering/automation or comparable subjectsGood PLC programming skills (TIA, STEP7, WINCC)Profound
Nézze később2024. 04. 27. | Teljes munkaidõ | Szeged | N-iXOne of the world's largest fashion retailers selling in 215 markets through its online platform or its 6,477 stores in 95 markets. By working closely together as a single company globally focused on the key elements of fashion production - design, manufacture, distribution, and retail. All
Nézze később2024. 04. 27. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUCutting-edge CI/CD pipelines and streamlining systematic are curious to try out new technologies to constantly improve and expand our wide range of know- will be part of our agile team that will take full operational responsibility (incl. production environment, 24x7 on call duty
Nézze később2024. 04. 24. | Teljes munkaidõ | Szeged | dotLinkersPosition Senior Big Data Engineer Working model Remote or hybrid Form of employment contract of employment Join our client which makes software to help users organize data, discover the truth, and act on it. Their SaaS product manages large volumes of data and quickly identifies key issues
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