SAP Senior Data Engineer f/m/d SAP Business AI - Knowledge Graph 

Germany, Baden-Württemberg 

996150326

The Role:

• 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.
• Guide and inspire the Business Knowledge Graph team with your expertise in understanding the data.
• Guide junior project members and shape collaborations with stakeholders.
• Make critical design decisions regarding the selection and implementation of underlying technologies.
• Contribute to thought leadership in an entirely new approach towards generative AI, using the combination of Knowledge Graphs and Foundation Models in business contexts.

What you bring

• 5+ years of related professional experience in Software Engineering with at least 2 years of professional experience as a data engineer.
• Bachelor's or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines.
• Proficiency in Python as well as experience building ETL pipelines with Metaflow, Airflow or similar frameworks.
• Hands-on experience in any of the cloud stacks (AWS, GCP, Azure, BTP).
• Experience in building data pipeline activities for projects, ideally related to data science projects, e.g. with Large Language Models.
• Experience with object stores, relational databases or vector databases.
• Understanding of SAP S/4HANA backend (ABAP and Data Dictionary) and data models (e.g., VDM, CDS Views, RAP, OData) is a plus.
• Experience with Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus.
• Curiosity and interest to experiment and adopt new technologies and frameworks.
• Strong communication, collaboration and leadership skills, experience with agile methodology and an ability to work effectively in distributed, cross-cultural teams.