Data Engineer SAP Enterprise Knowledge Graph

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

Whatyoullbuild

The SAP Global Content Group (GCG) Engineering team builds the SAP Enterprise Knowledge Graph (EKG) integrating SAPs 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 SAPs 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 andmaintaindata 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 applications reasoning and retrieval capabilities.
• Build automated data quality checks and evaluation pipelines that detect regressions and keep the knowledge graphaccurateand 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 andparticipateactively 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 andkubectl; motivation to deepen operationalexpertiseover 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 notrequired.
• Familiarity with CI/CD tooling and automated testing practices.
• Good written and spoken English; ability to collaborate effectively in a globally distributed team.
• Computer Science Data EngineeringInformation Technology or a related field; aMastersdegree is a plus.

Where you belong

SAP Global Content Group (GCG) builds the Enterprise Knowledge Graph to unify SAPs 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 primarilylocatedin 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
SAPs 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.

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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.

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

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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