4 data warehouse jobs found in Munich

Munich Entry-level professionals Your sphere of influence As an intern (all genders) in consulting for the area of ​​Process Intelligence with a focus on Data Science, you will support currently running projects in the areas of Process Mining and Data Analytics. You are part of the development of Data Engineering Pipelines You will help create innovative Process Intelligence Use Cases. You take responsibility for internal development projects. What makes you stand out You are studying natural sciences or economics with a focus on computer science, data science or statistics. You have an analytical mindset and approach topics in a structured manner. You bring a high level of motivation, initiative, and IT affinity. You are interested in data analytics and process management. Prior experience with process mining, AI, and machine learning is an advantage. You work independently, responsibly and reliably. You possess good...

Introduction: We are looking for a strategic and impact-driven Senior Data Engineer to join our growing data organization at Peter Park. In this role, you will be instrumental in designing and building robust, scalable data infrastructure that powers our analytics, data science, and product development efforts. You will work closely with our CTO and Head of Product (Ph.D. in Data Science) as well as stakeholders from engineering, analytics, sales, and CRM to ensure data is accessible, reliable, and actionable across the company. Your work will enable data-driven decision-making and innovation by developing and maintaining high-quality data pipelines, real-time processing systems, and data platform architecture that support our business growth and product roadmap. If you are ready to shape the future of Peter Park through Data, come be a part of our team! Our Objectives and your Role: You build and maintain scalable ETL/ELT pipelines that support...

Your mission Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities). Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness. Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance. Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations. Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline. Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection. Create...

Orbem is an impact-driven deep-tech scaleup with global reach, founded in Munich, Germany and now expanding internationally with our newest office in Houston, Texas.   We develop fast, accurate, and accessible imaging solutions that provide access to otherwise unattainable sources of knowledge. We seek to make a difference – and develop solutions to sustainably feed the world, accelerate the transition to a green economy, and transform disease detection. Join us   on our mission to unleash AI-powered imaging for everything and everyone. Staff Machine Learning Engineer (f/m/d) Starting date:   As soon as possible Yearly Salary:   €90,000 - €100,000 (fixed range, annual gross) Equity:   €40,000 to €80,000 in company shares Benefits:   Up to €5,000 annually Work model:   Full-time, Hybrid (Munich, Germany) Your role As a   Staff Machine Learning Engineer , you will be at the forefront of building the intelligent...