SAP Senior Data Engineer f/m/d SAP Business AI 

Germany, Baden-Württemberg 

776635934

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
  

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, or other relevant disciplines

• Proficiency in Python as well as experience building ETL pipelines with Metaflow, Airflow or similar frameworks

• Hands-on knowledge in any of the cloud stacks (AWS, GCP, Azure)

• Experience in building data pipeline activities for projects, ideally related to Large Language Models

• Experience with SAP Business Technology Platform (BTP)

• 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 object stores, SQL databases, vector databases is a big 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