(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. 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.

What you`ll do

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.

What you bring

• Bachelor's or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines
• 3+ years of related professional hands-on experience with pipelines ingesting and transforming data in data science projects
• Proficiency in Python - Capability to implement efficient complex algorithms to extract and analyse data from sophisticated formats (e.g.: Abstract Syntax Trees, CDS CSN, OpenAPI, OData EDMX, BPMN)
• Hands-on experience with any of the cloud stacks (AWS, GCP, Azure)
• Experience with object stores, relational databases or vector databases is a must
• Curiosity and interest to experiment and adopt new technologies and frameworks
• Ability to work effectively in distributed, cross-cultural teams
• Experience building ETL pipelines with Metaflow, Airflow or similar frameworks is a plus
• Experience with Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus
• Understanding of SAP S/4HANA backend (ABAP and Data Dictionary) and data models (e.g., VDM, CDS Views, RAP, OData) or experience with BTP is a plus

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, opportunities for personal development abound, and exceptional colleagues collaborate globally.

#SAPAICareers, #SAPBusinessAICareers, #SAPAIGermany

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Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Requisition ID: 411741 | 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

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