Dual Master's Program (M. Sc.) in the Field of Big Data Engineering 2027

REWE Group is one of the leading trading and tourism companies in Europe. Since its foundation in 1927, the cooperative group based in Cologne has been synonymous with reliability and sustainable and long-term growth. More than 384,000 employees form a strong community with a lot of courage for innovation in shaping the change and future of trade and tourism. The sales lines include supermarkets and consumer markets of REWE and BILLA, Discounter PENNY and the construction markets of toom and B1 Discount Baumarkt. In addition, innovative Convenience markets (REWE To Go and the Lekkerland Group) and E-Commerce activities REWE delivery service as well as Zooroyal, wine lovers and Cologne wine cellar are included. Tourists include the organizers ITS, Jahn Reisen and Travelix as well as Dertour, Meier's World Tours, ADAC Travel, Kuoni, Helvetic Tours, Apollo and Exim Tours as well as the business travel divisions DER Business Travel and over 2,400 travel agencies (including the travel agency, DERPART, Kuoni), the hotel brands lti, Club Calimera, Co. Dual master program (M. Sc.) in the field of Big Data Engineering 2027 Location: 50668 Cologne Job ID: 964813 Type of employment: Full time Area: Information technology Type of entry: Dual studies Type of contract: fixed Start date: 01.09.2027 (*)We have written the entire call text ourselves and did not use GenAI like ChatGPT! Why Big Data Engineering at REWE Group: As a modern trading company, REWE Group has a comprehensive data scrap from purchasing, logistics and our markets and customers. Our questions are demanding, but not abstract. We use state of the art technologies and methods to provide our customers with an even better shopping experience every day. It is an exciting journey where we would like to take you.

We will accompany you on your development to the Big Data Engineer:in. You support REWE Group's various analytical problems and work at the front of the scalable processing, provision and analysis of various data formats, from real-time streaming data to huge distributed data systems. You are expecting a wide range of challenges in software development, data pipeline and data science. You apply your learned knowledge from your studies in a concrete, professional and independent way. The degree program KI & Business Analytics lasts two and a half years and is divided into five semesters. In doing so, you'll get the big data or Data Science provides the necessary mathematical, informative and business knowledge. In the fifth semester, you will start the Master thesis with the support of an internally responsible person of the REWE Group and then receive your degree as a Master of Science. On four days a week you are actively working with us on current use cases. You meet many nice colleagues from IT and analytics to discuss and solve exciting questions. Theoretical knowledge gets a concrete face, together in the team you learn something about it every day. You get to know the following business areas: Business Analytics: Here the experts are sitting for Data Science and AI, the machine learning method is transferred to decisions in the trade. REWE digital: Is the “home of IT” of REWE Group. We develop the digital future of trade. And what does not exist today, we develop for tomorrow. Agile working methods with cross-functional teams provide the perfect working environment to advance the development of analytical products and use cases. Know How You Learn In Theory: You will find your theory at the University of Applied Sciences for Economics and Management (FOM) in the study program KI & Business Analytics at the Cologne site. You receive, among other things, sound knowledge in: Basics of machine learning Data Engineering Business Analytics application fields Applied programming Analysis of semi- & unstructured data Project Management of Big Data Projects Change & Innovation Leadership and Sustainability Each week you will be exposed to a working day for the preparation and preparation of your studies.

Complete Bachelor Program with at least 40 ECTS in (economic) informatics modules and very good mathematical and technical understanding programming experience in at least one language, preferably Python, R, or SQL Fun on complex analyses based on diverse data sets Great enthusiasm and high affinity for IT and especially big data First experiences with Cloud System, Hadoop or Spark are a plus Openness, curiosity and team skills Responsible action, flexibility and communication Personality is our first priority!

Design space from the beginning: co-determination in the selection of algorithms, analysis techniques and technologies Self-responsible work on exciting questions from a wide range of business areas (supply chain, logistics, marketing, customer service etc.). You are part of a great expert:internal network of which you can learn and develop Use of the latest technologies in agile structures and cross-functional teams Modern corporate culture, which is lived daily in the office, at home and at regular events (e.g. introductory trip, summer festival, ...) Impact because you actively contribute to the development of IT solutions for millions of people with your own service laptop Over-tariff training with holiday and Christmas money, takeover of tuition fees and 30 days holiday and Rosenmontag free Benefits of a group in the form of discounts at the Deutschlandticket & Lunch as well as discounts at REWE, PENNY, toom Baumarkt and DERTOUR Group Intensive care by personal contact persons Individual support through regular feedback and development talks Extensive training offerings with seminars and project work as well as optimal exam preparation All-round care through a wide range of sports and health services and a grant to pensions Excellent career prospects: Accompanying takeover process with 97% takeover rate (based on the last two years)