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

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

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:

• Contribute to the development of Knowledge Graph solutions covering SAP domain knowledge and providing grounding to LLM applications.
• 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 to understand and interpret their data.
• 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 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 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 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.
• Experience with object stores, relational databases or vector databases.
• Understanding of SAP S/4HANA backend (ABAP and Data Dictionary) 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, experience with agile methodology.

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.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, 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.

Requisition ID: 411735 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: Walldorf or Berlin | #LI-Hybrid