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4 business intelligence jobs found in Wiesbaden

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Business Intelligence  (6) Software Engineering  (5) Data Science  (4) Data Engineering  (4) Data Analytics  (4) DevOps  (3)
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HomeServe Gruppe Deutschland
12/03/2026
Full time
Data Migration Specialist (m/w/d)
HomeServe Gruppe Deutschland 60486 Frankfurt am Main, Hessen, Germany
Data Migration Specialist (m/w/d) bei HomeServe Gruppe Deutschland in Frankfurt Du steuerst Datenmigrationen zwischen Systemen und sicherst Datenqualität.
Bund-Verlag GmbH
05/03/2026
Full time
Operativer Data Manager (m/w/d)
€46,000 - €52,800 yearly
Bund-Verlag GmbH 60439 Frankfurt am Main
Operativer Data Manager (m/w/d) bei Bund-Verlag GmbH Du verbindest Datenmanagement mit operativen Prozessen und sorgst für strukturierte Datennutzung.
DekaBank Deutsche Girozentrale
18/03/2026
Full time
DevOps Engineer (w/m/d)
DekaBank Deutsche Girozentrale Niederrad, Frankfurt am Main, Frankfurt-Süd, Germany
Occupation as of:   January 1, 2026 Contact person responsible for the position:   Areti Christina Theodoridou (recruiting@deka.de) We are   DekaBank   – the securities house of the German savings banks and one of the largest fund providers in Germany. We develop first-class products and are close to our customers. With customized investment solutions, we support the savings banks in their advisory services. We are developing new offerings for digital securities trading. Are you ready? Let's shape the financial world of the future together! What do we offer? A modern working environment. We foster team spirit as well as individual development opportunities for personal career advancement. Because all our employees contribute their creativity, passion, personality, and expertise – and that's what makes us who we are. Next move @ Deka – help us shape the IT world of tomorrow! You will effectively utilize your DevOps experience in complex cloud environments! In...
Daisytuner GmbH
18/03/2026
Full time
Machine Learning Engineer (m/w/d)
Daisytuner GmbH Darmstadt, Germany
Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work on machine learning challenges at the intersection of software, hardware, and performance. Your work will help us build intelligent systems that understand complex workloads and improve how software runs on modern processors. What you will be doing : Develop and improve deep learning models that support our core optimization and search systems Explore...
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