We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You’ll Build In this role, you’ll create scalable, end-to-end Data Products that serve as the data foundation for transformative business decisions including AI scenarios. Moving beyond conventional reporting, you will develop robust data pipelines and models using a modern stack including Python, Databricks, SAP Business Data Cloud, SAP HANA Cloud, and Azure Data Lake Storage. You’ll be responsible for delivering the full lifecycle of data engineering from raw ingestion to consumption, implementing best-practice data architectures to ensure solutions are production-grade, future-ready, and scalable. Your work will empower teams with faster, smarter insights, bridging the gap between business needs and technical execution. By transforming complex data challenges into accessible, high-performance solutions, you’ll help drive meaningful outcomes. As a senior team member, you will proactively drive projects forward, fostering collaboration with stakeholders and team members to ensure seamless execution and alignment with business objectives. Your proactive approach will uncover inefficiencies and create space for innovation, introducing automation and strategic enhancements that maximize value for our internal customers. You will thrive in an Agile/Scrum environment that values curiosity and continuous improvement, constantly exploring new possibilities to deliver exceptional results that enable informed decisions. You will provide data foundation for new AI scenarios and test and provide feedback to AI standard functionality and new developed AI Agent scenarios What You Bring Education & Professional Background Education: Master’s degree (or equivalent) in Computer Science, Engineering, Business Information Technology, or a related field. Experience: Proven track record in analytical or data engineering roles, ideally within consulting or development environments. Methodology: Experience working in Agile/Scrum environments is highly desirable. Communication: Ability to build trust and clarity across diverse teams, ensuring alignment with strategic objectives. Technical Competencies Core Languages: Proficiency in Python or SQL ; Data Products: Experience in designing and implementing scalable Data Products (end-to-end lifecycle from ingestion to consumption). Analytical Data Modelling with 3+ years technical expertise: Strong background in analytical data modeling, data architectures, and building robust data pipelines for large datasets. Database Skills: Advanced knowledge of SQL database modelling, specifically within SAP HANA or equivalent high-performance databases. DevOps & Automation: Familiarity with CI/CD pipelines (e.g., GitHub Actions) and version control (Git) for production-grade delivery. Platforms & Tools: Hands-on experience with: SAP Business Data Cloud SAP HANA Cloud Databricks Azure Data Lake Storage (ADLS) is a plus Soft Skills & Aptitude Inclusive mindset with a passion for collaboration and knowledge sharing. Strong analytical thinking and problem-solving skills. Proactive and adaptable, thriving in environments that encourage creativity and continuous learning. Excellent communication skills in English both spoken and written Where You Belong Join a purpose-driven, inclusive team where collaboration takes precedence over competition, and every individual is empowered to shape impactful solutions. We celebrate diverse perspectives and backgrounds, fostering an environment where everyone can contribute and thrive. At Corporate Functions & Analytics, we recognize the pivotal role data plays in making informed business decisions. Our mission is to drive business and customer success through a connected analytics experience powered by innovative technology. By partnering closely with stakeholders, we deliver actionable insights and become trusted advisors. We continuously seek opportunities for improvement, ensuring the integrity of our portfolio remains strong. The People Analytics Engineering team creates intelligent analytical assets for our HR organization, focused on delivering business value and supporting strategic priorities. #CFA Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 451935 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid