AI Data Engineer - SAP-RPT Model Family; f​/m​/d

AI Data Engineer - SAP-RPT Model Family (f/m/d)

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.

Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

• As an AI Data Engineer for the SAP-RPT model family, you will build and scale the technical foundations that power our AI innovations, develop high-quality, end-to-end data pipelines, execute complex data extractions, and engineer high-value datasets.
• Bridge the technical gap between raw enterprise data and advanced AI research, focusing on tooling and pipelines for curating and refining data assets to ensure maximum utility and performance.
• Work hands‑on with cutting‑edge processing tools, ensuring every dataset adheres to SAP’s industry-leading compliance and data integrity.
• Contribute to the development of one of the few leading foundation models of European origin.
• Design, develop and manage tools and data pipelines to process tabular data at scale, extracting, cleaning, enriching and analyzing data from various sources, ensuring high quality.
• Collaborate with domain experts and application development teams (e.g., from SAP S/4
  
  HANA), understanding and interpreting data, metadata and other development artifacts.
• Work closely with data scientists to share data insights and enable the model to be accurately tailored to enterprise data of SAP’s applications.

Unique opportunity to contribute to the development of the SAP‑RPT model family. Design, develop and manage tools and data pipelines that enable the processing of tabular data ract, clean, enrich and analyze data from various sources, ensuring its high quality. The data is subsequently processed, enriched, and utilized as training and benchmark data for the Tabular Foundation Model. In close partnership with domain experts and application development teams (e.g. from SAP S/4

HANA), understand and interpret data, metadata and other development artifacts.

• Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
• Generic understanding of SAP S/4
  
  HANA backend and data model (e.g., VDM, CDS Views, RAP, OData) and the Data Dictionary.
• Advanced software engineering skills in Python and proficiency in SQL.
• Hands‑on knowledge in cloud stack (AWS, GCP, Azure) and handling large‑scale data (>1M files; >10TB volume) is a plus.
• Experience with data modelling, ABAP, Machine Learning and/or Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus.
• 2+ years of professional experience. Strong communication, coordination and collaboration skills, and ability to work effectively in cross‑cultural teams.

SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team’s mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP‑RPT‑1. As the first generation of our relational model portfolio, SAP‑RPT‑1 represents our commitment to pioneering new research in a domain where SAP’s expertise in enterprise data structures provides an unmatched competitive edge.

We are looking for innovators to join us in this journey to develop next‑generation models with even higher impact, bridging the gap between cutting‑edge AI research and the complex, structured reality of global enterprise data.

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…