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

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