WE HELP THE WORLD RUN BETTER

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.

At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata and documentation, which slows the development progress. It is SAP’s mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and to deliver distinctive generative AI solutions to our customers.

As a (Senior) Data Engineer (f/m/d), you will play a pivotal role in shaping and executing the data engineering activities for the Business Knowledge Graphs team at SAP.

• Unique opportunity to contribute to the development of Knowledge Graph solutions covering SAP domain knowledge and providing grounding to LLM applications (e.g. Joule).
• Build ETL pipelines to lead the ingestion of data, metadata, and other development artifacts into our Knowledge Graph.
• Partner with domain experts across different lines of business (LoB) at SAP, understand and interpret their data, metadata, and other development artifacts and make it consumable in our Knowledge Graph.
• Extract relevant information from various LoB data sources for further processing and enrichment of our large-scale Knowledge Graph serving the Foundation Model and other LLM use cases.
• Contribute to design and build stable and scalable applications.