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

20.05.25 | Vollzeit | Osnabrück | JobLeads GmbH | 40.000 € - 60.000 € Processing insolvencies and bad debts (value adjustments, initiation of collection measures) - Opportunity to work on projects and take on special tasks Your Profile - Completed commercial training - First professional experience in the accounting environment with a focus on accounts receivable - credit

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

22.05.25 | Vollzeit | Osnabrück | ZF | 45.000 € - 60.000 € To the implementation of content-related standards for data, processes, and reports within Finance, while ensuring alignment with other functions. You will also provide consulting support for Finance teams regarding process design and digitalization. Technologies - Support - SAP - ERP More We are expanding our ZF

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