Senior Data Engineer/Architect (m/w/d)

Did you know that... as a sustainable family business with around 2,000 branches in Germany, Austria and the Netherlands and a multi-annual online shop are one of the largest omnichannel providers in European textile retail? Our clientele is looking forward to an attractive price-performance offer in the areas of clothing and home-food clothing for the whole family. This family thought is also reflected in our daily coexistence: a pronounced sense of communion, communication at eye level as well as a respectful approach make our constantly growing Ernsting's family something very special. You shape the architecture and technical basis for data-driven decisions, from efficient data integration to providing scalable data products. In cooperation with the Data Scientists and Reporting Engineers, you will realize data architectures based on SAP BW, SAP Datasphere, Microsoft Azure and Databricks. You integrate and transform data from SAP systems and non-SAP systems to make them usable for Advanced Analytics and Machine Learning applications. With automated validation processes, structured monitoring and robust governance concepts, you always ensure a high data quality. You actively support the operation of analytics and machine learning pipelines. You will also shape the further development of our data strategy and bring new technologies and best practices from the SAP and Azure environment.

Multiannual professional experience as Data Scientist, ideally focusing on e-commerce, digital analytics or CRM. A completed study in the field of statistics, economics, data science, computer science or related subjects with a corresponding deepening. Very good knowledge of Python or R, as well as dealing with Spark, SQL and cloud technologies such as Microsoft Azure, AWS, Databricks or comparable platforms. Experience in the development and implementation of prediction models, personalization algorithms and segmentation approaches. Experience in project management and cooperation with stakeholders from different disciplines. Communication strength as well as the ability to convey complex analyses in a comprehensible and targeted manner, both technically and business-oriented. The enthusiasm for the business added value of Data Science, AI and the joy to advance new ideas.

Job & family: We live a strong relationship on campus at a 37.5-hour week and a kita directly on campus Financial advantages: holiday and Christmas money, occupational retirement, asset-effective services, corporate benefits, personal discount and bike leasing Feeling factor: 30 vacation days, free gym on campus, modern jobs, several coffee hubs and food spots with fresh menus Close cooperation: with other departments, data architects and engineers Family Fun: Interne Events and Activities on the Campus with Boule-Bahn, Padel-Court and Multispielfeld A warm welcome: With structured onboarding, regular feedback talks and individual further development possibilities