5 big data jobs found in Munich

Join the cavalis team At cavalis, we believe the next generation of consulting is hands-on, data-driven and powered by AI. We are looking for Data Science & Management Consultants who combine analytical thinking, process expertise and data understanding to deliver measurable business impact. In this role, you will work directly with our clients, from scoping challenges to translating data into actionable insights. You will implement advanced analytics and process intelligence use cases, and you will ensure that our clients unlock the full potential of their data and operations. About us cavalis is a boutique consultancy headquartered in Munich, founded by former Celonis leaders. Our mission is to build the Data Intelligence Factory of the future. We are rooted in process mining excellence, but our vision goes further. We transform enterprise data into tangible outcomes by combining process expertise, data science and AI. Our founders have helped shape the...

Become part of the team "Whenever things get dangerous or risky, we seek the company of people we trust. People we can rely on. At usd, we have some of the brightest minds I know. People who make a real contribution to greater security. Our customers are personally important to them; they take responsibility and are committed. From Care to Trust. More security. usd." Andrea Tubach, CEO What you will do with us Digitalization, AI, ransomware, data leaks, and global supply chain attacks – the importance of cybersecurity has never been greater and continues to grow. As an international consulting firm, we provide tailored and efficient support to top clients across numerous industries. Together with them, we identify their specific consulting needs and develop high-quality solutions. You act as the central contact person and representative (all genders) of usd AG in web conferences, on the telephone or in on-site consultations. You proactively promote...

Team: Marketing Job Location: Munich, Germany Position Type: Permanent, Full-time Work Flexibility: Hybrid, Onsite Role Overview We are looking for a highly analytical and adaptable professional to strengthen our planning and forecasting capabilities. In this role, you will own the development and optimization of forecasting models, improve planning processes for efficiency and accuracy, and provide ad-hoc analyzes to support operational decision-making. Your work will ensure that planning remains closely connected to real business dynamics, bridging strategic foresight with operational insights. Collaboration with the core business units (Markets, Supply, Finance, Onsite and Data) will be your daily business. Location & Work Model This position is based in Munich, one of Germany's most dynamic business hubs. We are looking for a candidate who is either already located in the Munich area or willing...

About Us Do you want to advance your career and collaborate with experienced, talented colleagues to successfully solve our customers' most pressing challenges? We are continuing to grow and are looking for dedicated individuals to strengthen our team. You will become part of a dynamic, rapidly growing company with over 300,000 employees. Our dynamic organization allows you to work across disciplines and contribute your ideas, experience, creativity, and goal orientation. Are you ready? About your role As   a Consultant / Senior Consultant in the field of Data Engineering & Data Science,   you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle – from data acquisition and transformation through analytics and machine learning to productive operation. You will work closely with data engineers, architects, data scientists and subject matter experts to...

Your tasks: Data Architecture & Integration:   Development, implementation & further development of scalable data concepts and architectures (e.g., Data Lakehouse) for data integration as well as implementation of BI & Advanced Analytics. Lifecycle support & strategy implementation:   Supporting the platform manager throughout the entire lifecycle and advising on the implementation of data & AI strategies. Data landscapes & use cases:   Reviewing data sources, quality & suitability for use cases, identifying potential value enhancements and end-to-end project management of data & AI use cases. Process basis & automation:   Documentation of processes and identifying and developing optimizations through automation & AI Standards & Reuse:   Maintenance, implementation and improvement of reusable standards & projects in the data & AI field Technologies, Partners & Compliance:   Selection support,...