DEICHMANN SE is the market leader in the German and European shoe retail trade, operates more than 4,200 stores and is represented in 31 different countries. The company, which is headquartered in Essen, and employs more than 41,000 people worldwide, was founded in 1913 in Essen-Borbeck by Heinrich Deichmann and is now owned by the third generation of the family. The DEICHMANN Group is on course for growth globally and is therefore always searching for qualified employees. The Group includes Dosenbach, Ochsner Shoes, Ochsner Sport (Switzerland and Germany), vanHaren (Netherlands and Belgium) and Rack Room Shoes/Off Broadway (USA) as well as MyShoes. DEICHMANN offers career newcomers eleven different training courses in the areas of Sales, Head Office and Logistics, plus work placements and trainee positions, and a choice of three dual study courses. More experienced and managerial staff have good development opportunities and chances of promotion at DEICHMANN, within the international junior development programme "Talents@Deichmann"​, for example, plus the option of continuing training and attractive company pension and healthcare packages. DEICHMANN is a member of the Fair Company-Initiative – Germany's largest employer initiative supporting fair practices. As a member, DEICHMANN undertakes to pay students a fair wage too. Visit us at:

Full time
Deichmann 45478 Mülheim an der Ruhr, Germany
Wissollstraße 15, 45478 Mülheim an der Ruhr Plan your commute Job details Start date: immediately Contract type: full-time Area: Data Intelligence & Analytics We are the Data Intelligence & Analytics Unit of Deichmann SE and the experts when it comes to data, analyzes and machine learning . With our innovative, analytical data products, developed in close cooperation with our experts from the specialist areas, we anchor a “data-driven” mindset - be it in the context of omnichannel, eCommerce, marketing, pricing, purchasing or logistics. We use modern technologies and concepts - always with the aim of making our business better and our customers happier. Tasks: Agile development of data products and pipelines in the central data lakehouse, together with data scientists, data analysts and stakeholders from IT and the specialist departments Development and automation of data flows (batch and streaming), new interfaces and further development of the...