6 data warehouse jobs found in Stuttgart

Welcome to CBTW! We are an innovative team with over 3,000 employees in 21 countries and leaders in strategy & governance, software engineering, data analytics & AI and more. As a member of our team at CBTW, you'll work in an inspiring environment on challenging projects. We foster the development of tomorrow's experts and value your ideas. If you're ready to shape the future of data-driven transformation with a highly motivated team, apply to CBTW now! Together, we'll achieve great things. Tasks Design and implementation of modern   data architectures   (e.g.   Medallion Architecture   ,   Data Lakehouse   ) Development and optimization of   data pipelines   (batch & streaming) with   Kafka   ,   Spark/Databricks   and cloud services such as   Azure Data Factory Use and integration of central   Databricks components   such as   Unity Catalog   or   AI/BI Genie Ensuring   data and AI governance   ,   security   , and...

Area of ​​expertise: IT/Telecommunications Department: MBCS IT Management Company: Mercedes-Benz Customer Solutions GmbH Location: Mercedes-Benz Customer Solutions GmbH, Stuttgart Start date: 01.12.2026 Publication date: September 21, 2026 Job number:MER00048BL Working hours: Full-time (part-time suitable) Tasks Do you enjoy taking on responsibility and working independently in an agile team with a high degree of creative freedom? Do you enjoy actively shaping innovations and new solutions from the very beginning? Are you passionate about data, modern Microsoft and SAP technologies, and the transformation of established processes into data-driven and semi-automated workflows? Then you've come to the right place! Become part of the most inspiring brand and help us create experiences that combine mobility, technology, and lifestyle. Mercedes-Benz Customer Solutions GmbH is...

Area of ​​activity: Research & Development incl. Design Department: Device Integration Company: Mercedes-Benz AG Location: Mercedes-Benz plant Sindelfingen, Sindelfingen Start date: November 16, 2026 Publication date: September 30, 2026 Job number: MER00048W1 Working hours: Part-time Tasks In our department Infotainment Device Integration, we are responsible for the seamless integration of consumer devices such as smartphones, headphones, and wearables into the vehicle infotainment system. This includes the development, validation, and continuous improvement of technologies such as Bluetooth, Apple CarPlay, and Google Android Auto. We are looking for you as a Working Student Data Analytics for Infotainment Systems for this exciting and challenging area. You will master these tasks: Analyze quality, usage, and diagnostic data from customer vehicles in the field Identify product...

Tasks As a part of your Master thesis, you will develop a physics-informed current controller for grid-tied inverter control. You will evaluate the linear regulator and the predictive controller as reference points, as well as establish their boundaries. In addition, you will research current AI-based implementations in the literature. Furthermore, you will be responsible for developing a concept to improve the implementation of AI-based black boxes and mitigate their drawbacks in grid-tied inverter applications. Last but not least, you will select an AI-based concept, which may include machine learning, recurrent neural networks or reinforcement learning. If necessary, you will model the system alongside the implemented controller. profile Education:   Master studies in the field of Engineering, Mathematics, Information Technology or comparable Experience and Knowledge:   in the application of AI methods, system modeling and...

Institute for Medical Microbiology, Medical Virology and Hygiene, code 7903 Part-time: 65% Limited: 30.11.2029* 1 Start of work: December 1, 2026 Application deadline: October 20, 2026 TV-L idR E13 2 *extension possible Tasks Development and clinical evaluation of machine-learning models for the detection of resistance plasmids directly from routine MALDI-TOF mass spectra Genomic analysis of carbapenemase-producing Enterobacterales and their mobile genetic elements, using short- and long-read whole genome sequencing Establishment and analysis of linked MALDI-TOF and genome datasets as the basis for generalizable predictive models Experimental validation of computational predictions through conjugation, plasmid curing and stability assays, supported by a dedicated technical assistant Contribution to national and international consortia (DZIF TTU-HAI, ESGEM-AMR) and presentation of results at conferences and in peer-reviewed...

Tasks Are you eager to connect physical insights with advanced AI? We are offering an exciting master's thesis opportunity to work on physically informed machine learning for system identification and performance modeling of MEMS gyroscopes. During your assignment, you will construct machine learning (ML) algorithms for system identification and performance prediction of MEMS gyroscopes. You will examine MEMS gyroscope data through detailed analysis. Furthermore, you will assess physically informed ML in comparison to other architectures. Furthermore, you will acquire a deep physical understanding of MEMS gyroscopes to optimize your models. Finally, you will work with real-world sensor data to validate your findings. profile Education:   Master studies in the field of   Informatics, Physics, Engineering or comparable with good grades Experience and Knowledge:   in data driven parameter identification; knowledge of Python,...