17 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...

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 Contributing to the development and further development of modern   data platforms and data architectures   , e.g., based on   Data Lakehouse and Medallion architectures. Development and optimization of   data pipelines   for data processing and integration. Working with technologies such as   Databricks, Apache Spark, SQL and Python. Support for using and integrating   Databricks components   such as   Unity Catalog Contributing to the...

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...

STUTTGART Tasks We are looking for an   IT support and monitoring specialist   for key roles in the production IT control center, with comprehensive knowledge in incident management, knowledge management, problem and change management, as well as monitoring and AI solutions. Your tasks will include the following in detail: You will be responsible for receiving and processing   IT incidents and service requests,   and ensuring complete documentation in the ITSM tool. As a single point of contact (SPOC), you coordinate the   operation and support of production and logistics IT systems   to ensure smooth operations. In second-level support, you will assist in   analyzing and resolving complex issues   using innovative AI solutions and contribute your expertise to optimize IT processes. You are responsible for   monitoring and processing reported incidents   , escalating them as needed, and ensuring efficient problem resolution. By...

As a family-run, high-tech company with nearly 19,000 employees at 71 locations worldwide, we are looking for forward thinkers with unconventional ideas and drive to join our team. Our company culture, which values ​​collaboration and mutual trust, creates the ideal framework for boldly trying new things and questioning the status quo. Our technologies inspire people to develop and produce things that are currently unimaginable. Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for future generations. Are you ready for new challenges? Your new task As part of our AI Hub, you will work with specialist departments to design concrete AI use cases and take responsibility for developing and operating models and systems from idea to production-ready solution. Through targeted selection, training, and feature and prompt engineering, you can bring AI models from the fields of machine learning, computer vision, and large...

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...

Tasks As part of your Master thesis, you will build an Agentic AI system within the Robert Bosch IT infrastructure. You will connect this system to the Semiconductor Database (DB) and its DB description, as well as train the agent using it. In addition, you will research how effectively the agent can translate natural language intent into deterministic database operations. Furthermore, you will investigate the efficiency and accuracy of Agentic's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows. Last but not least, you will learn how the agent tests hypotheses against historical data by simulating interventions (eg in manufacturing processes), in order to make robust, data-driven decisions. profile Education:   Master studies in the field of Computer Science, Mathematics, Physics or comparable Experience and Knowledge:   of Python, Machine Learning, Agentic AI, SQL, Git and MCP;...

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description In this internship, you will help to extend a process development toolbox to a wider range of fastening and assembly processes. Our goal is to leverage artificial intelligence to make the toolbox smarter and more efficient. You will test and enhance the toolbox using data from various manufacturing processes. Your task is to build an AI agent to automate and manage data integration workflows. You will also evaluate process data, identify new requirements, and contribute to the ongoing development of the toolbox. You will help us apply and expand a process development toolbox to new and exciting manufacturing processes. The...

Tasks At Bosch Research, we are pioneering the next generation of Physical AI-intelligent systems that can perceive, reason, and act robustly in the real world. From automated driving to robotics, our goal is to develop AI technologies that are not only highly capable but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to generalize reliably to new situations and often require enormous amounts of data and computational resources. For Bosch products, however, AI solutions must deliver strong performance while operating under real-world constraints such as limited compute, energy efficiency, safety, and reliability. In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems. Your research will combine ideas from imitation learning, reinforcement learning, large-scale simulation,...

Your mission & challenges As an AI Data Annotation Specialist, you work at the intersection of data ingestion, annotation workflow design, and machine learning—with a strong focus on building training datasets for multimodal foundation models that combine perception, language, and robotic action. Your main responsibility is the design and maintenance of scalable workflows for automated and human-in-the-loop annotation, ensuring that datasets are correctly labeled, curated, validated, and prepared for efficient model training and evaluation. You play a crucial role in enabling high-quality embodied AI systems by transforming raw multimodal robot data into structured, reliable, and semantically rich training datasets. You design, build, and maintain pipelines for automated, semi-automated, and human-in-the-loop data annotation, with a focus on subtask labeling for long-horizon robot demonstrations. You will develop annotation workflows for language-based...

How you work You are part of the NEURA Academy team within Service & Academy and work closely with Development and Product Management. Your focus is training – customer application consulting is covered by NeuraGym. Your mission & challenges Your responsibilities, in order of priority: 1. Training delivery Deliver programming trainings with NeuraPy (Python) and C++ – from fundamentals to advanced workflows Deliver trainings on the NeuraPy AI API and application-level AI workflows (data processing, model usage, inference) as well as ROS Teach the software integration of external devices such as cameras, microphones, grippers and sensors Support participants with exercises, application development and debugging during trainings 2. Training content & demos Create and update training materials according to Academy standards 3. Product knowledge Stay current on new features and software releases in close exchange with Development...

Give our robots consciousness In the AI ​​Department, you'll develop the cognitive abilities of our robots, enabling them to understand and react to the world around them. You'll work on the algorithms that make machines intelligent and adaptive – from object recognition and speech processing to decision-making in complex environments. Here, you'll be part of a team that pushes technological boundaries and collaborates closely with other departments such as software, hardware, and product management. Using state-of-the-art tools and methods from machine learning and AI, you'll work on projects that are directly reflected in our products. If you're passionate about making machines smarter and shaping the next level of human-machine interaction, the AI ​​Department is the perfect place for you. Full-time Riederich from now on Your mission & challenges At NEURA Robotics, cognitive robots don't...

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...

Faculty of Medicine, Radiology, RACOON Research Infrastructure, Ref. No. 7931 Full-time: 100% Temporary contract: 1 year 1 Start date: as soon as possible Application deadline: October 6, 2026 TV UK i.d.R. E13 2 Tasks Coordination of organizational and scientific processes in close collaboration with the project management Advising project partners on study design, data management and data integration Organization and support of external audits (business trips) Support in the further development and implementation of the technical research infrastructure Contributing to the preparation of scientific publications, project reports and grant applications. Profile Completed university degree in (medical) informatics, bioinformatics, data science, medical physics or a comparable field Experience in database management and with research infrastructures is required (e.g., federated systems, clinical data...

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,...

cross-ING is an independent, ISO 9001/13485-certified Swiss engineering company. The company offers its clients a broad range of expertise in product development. With many years of experience and globally networked, interdisciplinary expertise, cross-ING supports its clients in creating new products and generating added value. The cross-ING Group AG handles administrative tasks, including marketing, sales, and human resources. We're looking for talented embedded software engineers who want to work in a dynamic company. We might not have a suitable project for you right now, but things can change quickly, so register in our talent pool today. We'll work with you to develop your profile so we're sure to find you when our next project opens up. Your responsibilities Development of embedded firmwares for our customers from various industries Software development of industrial applications from requirements gathering to rollout Development of data security...