SAP Analytics Data Engineer - BW, SAC, Datasphere (m/f/d)

Job description

Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace. Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group. The Impact You Will Create Back-End Engineering & Architecture: Conception, construction and implementation of robust data warehouse structures (classic cloud). Advanced Data Modeling (SAP & Cloud): Development of complex, high-performance data models and customized logics both in classic environments and directly in the SAP Datasphere as well as in cloud data warehouses. Data Provisioning, Analytics & Frontend Reporting: End-to-end data provisioning from various source systems as well as the conceptual and visual creation of professional frontend reports and dashboards using state-of-the-art Bl tools. Strategy & Tech-Stack Optimization: Continuous evaluation and optimization of (cloud) technologies using sound SQL and development knowledge; mentoring of specialist departments and knowledge transfer. Experience And Skills You Will Need 5 + years of in-depth practical experience in the SAP, cloud and DWH environment (full stack from data modeling to the finished frontend report) Experienced and agile data expert with a strong focus on modern data warehouse architectures; combines in-depth technical SAP know-how with modern cloud expertise and strong front-end reporting skills. Previous experience in designing and implementing high-performance data models in both classic SAP environments and modern cloud architectures SAP Expertise Data Warehousing: SAP BW 4 HANA, SAP BW on HANA Modeling & Development: SQL, HANA Studio, ABAP (OO, CDS Views development of customized logic and interfaces) Cloud Data Management & Modeling: SAP Datasphere (including native data modeling), Frontend Reporting & Analytics: SAP Analytics Cloud (SAC) - Solid knowledge in creating dashboards and reports Cloud & Bl ecosystem (Google world & others) Foundation: Completed studies in (business) informatics or a comparable qualification with a clear focus on data management and business intelligence. Agility: Proven in agile and cross-functional work structures. Mentality: Hands-on, solution-oriented and future-oriented (always thinking one step ahead in terms of technology). Bonus Skills SAP Business Data Cloud (BDC) Cloud Data Platforms: Google BigQuery, Snowflake Database Programming: Solid SQL knowledge for the Google world (BigQuery) Business Intelligence & Frontend Reporting: Looker - Solid knowledge in creating reports and data visualizations Our Offer 25 days annual leave + 1 day annual leave after 5 years in the company Meal tickets Additional health insurance A good work life balance with flexible working time A pleasant and diverse environment with regular events, team buildings and stimulating activities A huge array of tools & technologies available on the spot and ready for a steady personal development Variety of opportunities with one of the strongest and largest retail companies in the world You will be part of an international team composed of people from different countries and backgrounds Onboarding and support/mentoring Interested? We look forward to receiving your application. Maria Melania Ana Reference no. 48342