2025. 06. 02. | Teljes munkaidõ | Debrecen | Deutsche Telekom IT Solutions HUData and cyber risks. Preventively perform penetration tests and actively combat attacks. Provide forensic analysis and implement measures. Be a trusted advisor on information
Nézze később2025. 06. 02. | Teljes munkaidõ | Debrecen | CopelandBusiness analysis activities throughout a project's lifecycle Implement projects using SDLC/Agile methodologies and practices Requirements Bachelor's Degree in Information Technology area Minimum - years of experience within business/systems analyst area Strong communication skills in English, both oral
Nézze később2025. 05. 30. | Teljes munkaidõ | Debrecen | Deutsche Telekom IT Solutions HUSpain, Hungary, Germany) Pro-actively support teams with technology expertise and new ideas to optimize the solutions and platforms Qualifications Bachelor or master’s degree in the following areas Computer science, Engineering or Information Technology or equivalent work experience in IT Strong
Nézze később2025. 05. 28. | Teljes munkaidõ | Debrecen | FlowserveAnalytical skills, and the ability to collaborate effectively with various stakeholders. Responsibilities Process Modeling Create and maintain business process models using BPMN with various departments to gather information on existing te clear and comprehensive process maps
Nézze később2025. 05. 26. | Teljes munkaidõ | Debrecen | Vitesco TechnologiesAnd development opportunities, active participation in the implementation > preparation and updating of quality documents of manufacturing equipment > error analysis and error detection > ensuring an up-to-date information flow, keeping quality and production documentation up to date > active participation
Nézze később2025. 05. 26. | Teljes munkaidõ | Debrecen | CopelandFunctional teams, including Engineering, Marketing, Sales, and Operations, to establish and enforce data governance policies and procedures. Your expertise in data analysis, data quality management, and product data governance will be instrumental in driving data integrity, enabling data-driven decision
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