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

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. 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.

What you`ll do
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.

The Role:

• Unique opportunity to contribute to the development of Knowledge Graph solutions covering SAP domain knowledge.
• 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.
• Extract relevant information from various LoB data sources for further processing and enrichment of our large-scale Knowledge Graph.
• 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.

What you bring

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

Meet your team

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications. Join our international AI team where innovation thrives and opportunities for personal development abound.

We win with inclusion

SAP's culture of inclusion and flexible working models help ensure that everyone feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer.