AI Data Engineer (f/m/d) For SAP S/4hana Data

Foundation Model Developer

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

The Role:

• Unique opportunity to contribute to the development of a Foundation Model on structured business data
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale
• Extract, clean, and analyze data from various sources, while ensuring its high quality. This includes relevant data extraction from SAP S/4HANA. The data is subsequently processed, enriched, and utilized as training and benchmark data for the Tabular Foundation Model.
• In close partnership with LoB domain experts from the S/4HANA development organization, understand and interpret SAP S/4HANA data, metadata, and other development artifacts.
• Extract relevant information from SAP S/4HANA for further processing and enrichment of training data for the Tabular Foundation Model.
• Work closely with data scientists to share SAP S/4HANA data insights and specifics, enabling the model to be accurately tailored to S/4HANA data

What You Bring:

• PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
• 2+ years of related professional experience
• 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.
• Proficiency in SQL and software engineering in Python
• 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.
• Strong communication, coordination and collaboration skills, with the ability to work effectively in cross-cultural teams.

Meet Your Team:

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

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.

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 and more equitable world.