Data Engineer - SAP Enterprise Knowledge Graph
SAP - Country India | Internal Posting Location Gurgaon
Posted Jun 12, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Public-company From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Engineer - SAP Enterprise Knowledge Graph Country India | Internal Posting Location Gurgaon 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
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