We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you'll build

The SAP Global Content Group (GCG) Engineering team builds the SAP Enterprise Knowledge Graph (EKG) - integrating SAP's reference business data across products, processes, and business objects into a unified semantic layer. To create and maintain the EKG, we develop an internal platform that exposes the knowledge graph via data access APIs and AI-powered services, and powers a neuro-symbolic AI application that enables intelligent search, reasoning, and knowledge exploration across SAP's enterprise data.

As a Data Engineer in our Content Infrastructure & Automation team based in India, you will contribute to the data infrastructure and knowledge graph systems that power our platform and AI application:

Build and maintain data ingestion, transformation, and delivery pipelines that feed the Enterprise Knowledge Graph - ensuring correctness, completeness, and freshness of knowledge at scale.
Develop and evolve RDF-based data models, ontologies, and SPARQL queries that structure the knowledge graph and power our AI application's reasoning and retrieval capabilities.
Build automated data quality checks and evaluation pipelines that detect regressions and keep the knowledge graph accurate and consistent.
Contribute to the operation and monitoring of the Kubernetes-based cloud infrastructure that our platform runs on - supporting incident response and service health under the guidance of senior engineers.
Implement CI/CD pipeline improvements and infrastructure-as-code components that support reliable, automated delivery.
Write clean, well-tested, production-ready code and participate actively in code reviews.
Collaborate with architects, senior engineers, and product owners across time zones to deliver platform features and resolve data quality issues.

What you bring

Total of 5-10 years of professional experience
3+ years of professional experience in data engineering, backend engineering, or a closely related discipline.
Hands-on experience with data pipeline development: ETL/ELT workflows, data validation, and pipeline monitoring in a production environment.
Practical experience with Kubernetes - familiarity with deployments, pods, logs, and kubectl motivation to deepen operational expertise over time.
Experience with cloud-native development on a major cloud platform (SAP BTP, AWS, GCP, or Azure).
Strong programming skills in Python experience with TypeScript or Java is an advantage.
Interest in and aptitude for knowledge graph or semantic technologies (RDF, OWL, SPARQL) - prior experience is a plus but not required.
Familiarity with CI/CD tooling and automated testing practices.
Good written and spoken English ability to collaborate effectively in a globally distributed team.
B.Tech in Computer Science, Data Engineering, Information Technology, or a related field a Master's degree is a plus.

Where you belong

SAP Global Content Group (GCG) builds the Enterprise Knowledge Graph to unify SAP's business and system knowledge, delivering it via a platform and a neuro-symbolic AI application used across SAP and by external customers. This role is based in India - our India team is primarily located in Gurgaon - and is part of a global team of engineers, researchers, and AI experts. You will work closely with senior engineers and architects across India and Germany, growing your skills in knowledge graph technology, cloud-native engineering, and AI-enabled systems.

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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 world.

SAP is committed to the values of Equal Employment Opportunity and provides 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: [HIDDEN TEXT].

For SAP employees: Only permanent roles are eligible for the , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our .

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 453889 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Data Engineer - SAP Enterprise Knowledge Graph