Senior Data Engineer for People Analytics

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