Senior Data Engineer - Knowledge Graph

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!

Summary:

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) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. Our goal is to combine the power of LLMs with Knowledge Graphs for business AI problems in SAP applications. 

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.

The Role: 

• Unique opportunity to contribute to the development of Knowledge Graphs for leveraging LLM applications and for contributing semantics to SAP’s Foundation Model. 
• Design, develop, and manage the construction of large-scale Knowledge Graphs using structured business metadata.  
• Guide junior project members and shape collaborations with stakeholders. 
• Collaborate closely with domain experts and LLM use case providers to understand their requirements and ensure the delivery of high-quality Knowledge Graphs. 
• Make critical design decisions regarding the selection and implementation of underlying technologies. 
• Extract, clean, and analyze data from various sources to ensure quality and accuracy. 
• Contribute to thought leadership in an entirely new approach towards generative AI, using the combination of Knowledge Graphs and Foundation Models. 

What you bring: 

• PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines. 
• Proven expertise in designing and implementing data extraction and structuring strategies for complex business data. 
• Hands-on expertise in cloud stack (AWS, GCP, Azure), object stores, SQL databases is a big plus. 
• Proficiency in Python. 
• Background in Machine Learning is a plus. 
• Understanding of Knowledge Graph technology stacks (RDF, property graphs, data modeling, schema design) is a plus. 
• Developer experience with any SAP Application and its underlying data models is a plus. 
• 5+ years of relevant professional experience. Leadership and strategic thinking skills. Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

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: Careers@sap.com.
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.

EOE AA M/F/Vet/Disability

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 136,300 - 283,400 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Requisition ID: 383650  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid