Stellenangebote für Data Processing Jobs in Osnabrück

24.05.25 | Vollzeit | Osnabrück | Rosen Technology & Research Center GmbHOn cloud-native architectures, advanced AI models and a modern JavaScript technology stack to streamline workflows, modernize the portfolio, and revolutionize how we analyze and interpret pipeline integrity data. By leveraging machine learning, advanced data processing, and cutting-edge web technologies

25.05.25 | Vollzeit | Osnabrück | JobLeads GmbH | 40.000 € - 60.000 € Specialized test stands, handling, transport & setup processes and integration processes, taking into account the highest cleanliness requirements. As part of the design process, we create technical drawings and documentation, support series production and integration processes in clean rooms, establish

24.05.25 | Vollzeit | Osnabrück | JobLeads GmbH | 80.000 € - 100.000 € Projects on Compliance and Data Privacy as well as risk mitigation - Educate target-specific groups on Compliance and Data Privacy matters - Perform data privacy impact assessments and maintain records of processing activities - Assess personal data breaches and data subject requests, and be involved

12.05.25 | Vollzeit | Osnabrück | Rosen Technology and Research Center GmbHAI models and a modern JavaScript technology stack to streamline workflows, modernize the portfolio, and revolutionize how we analyze and interpret pipeline integrity data. By leveraging machine learning, advanced data processing, and cutting-edge web technologies, we aim to significantly reduce

10.05.25 | Vollzeit | Osnabrück | JobLeads GmbH | 40.000 € - 60.000 € Become a part of our family history. - Assist in the development and implementation of sustainability strategies and programs - Support in developing and implementing processes for compliance with the LkSG (Lieferkettensorgfaltspflichtgesetz) - Monitor and analyze ESG-related performance indicators

12.05.25 | Vollzeit | Osnabrück | Rosen Technology and Research Center GmbHAI models and a modern JavaScript technology stack to streamline workflows, modernize the portfolio, and revolutionize how we analyze and interpret pipeline integrity data. By leveraging machine learning, advanced data processing, and cutting-edge web technologies, we aim to significantly reduce