(Senior) Data Architect & Engineer SAP Business Data Cloud (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 want to help shape the future of Business Analytics? Then you are right with us! In this exciting role you can expect varied and forward-looking projects with the latest technology stack – your contribution counts!

Cutting-Edge Data Analytics Initiatives: Work on innovative, pioneering Data & Analytics projects and set new standards with us Grow Together: With us you will find clear development opportunities – personal and professional, in a dynamic environment that focuses on innovation and speed Eco instead of Ego: Be part of a team that burns for Data & Analytics. We share knowledge, support each other and celebrate success together Visible results for the area of expertise: Design the business logics that serve the company's future-oriented management Your creative solution skills are in demand: Take responsibility for your ideas, communicate them actively and drive them forward

A completed study in the field of economic informatics or art related subjects (mathematics, physics) with a focus on computer science Conception and continuous development of scalable, company-wide data architectures (e.g. based on concepts such as Data Vault 2.0, LSA++) Sovereign (project) control of complex SAP and cloud platforms (such as SAP BW/4HANA, Datasphere, Business Data Cloud, MS Azure/Fabric, Databricks) Construction and maintenance of (r)ETL/ELT processes and automation of data processes and workflows Business knowledge for processes and data as well as the ability to analyze complex relationships and to communicate them in a targeted and clear manner Active design and implementation of data governance and EA integration strategies

Working hours: We live a strong relationship on campus at a 37.5-hour week 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 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