What you`ll do:

As an AI Data Engineer for the SAP-RPT model family, you will build and scale the technical foundations that power our AI innovations. You will develop high-quality, end-to-end data pipelines, execute complex data extractions, and engineer the high-value datasets essential for our foundation model research and engineering teams.

Bridging the technical gap between raw enterprise data and advanced AI research, you will focus on tooling and pipelines for curating and refining data assets to ensure maximum utility and performance. While working hands-on with cutting-edge processing tools, you will ensure every dataset adheres to SAP’s unwavering commitment to industry-leading compliance and data integrity. This is the ideal role for a highly technical, detail-oriented individual eager to work at the core of data engineering and contribute to the development of one of the few leading foundation models of European origin.

The Role:

• 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 at scale

• Extract, clean, enrich and analyze data from various sources, while 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/4HANA), understand and interpret data, metadata, and other development artifacts.

• Work closely with data scientists to share data insights and specifics, enabling the model to be accurately tailored to enterprise data of SAP’s applications.

What you bring:

• Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.

• Generic understanding of SAP S/4HANA backend and data model (e.g., VDM, CDS Views, RAP, OData) as well as the Data Dictionary is required.

• Advanced software engineering skills in Python and proficiency in SQL

• Hands-on knowledge in cloud stack (AWS, GCP, or 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, with the ability to work effectively in cross-cultural teams.

Meet your team:

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.