Senior Data Engineer Operations - SAP Enterprise Knowledge Graph

Job description

**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. This platform runs on a Kubernetes-based cloud infrastructure on SAP's Business Technology Platform (BTP), operating continuously to serve users and dependent services around the globe. As a Senior Data Engineer In Our Content Infrastructure & Automation Team Based In India, You Are a Senior Individual Contributor Who Owns Complex Data Engineering Challenges End-to-end And Serves As The Team's Critical Operational Anchor During European Off-hours - Design, build, and operate the data ingestion, transformation, and delivery pipelines that feed the Enterprise Knowledge Graph — ensuring correctness, completeness, and freshness of knowledge at scale. - Own the reliability and operational health of our Kubernetes infrastructure — monitoring system state, diagnosing incidents, and independently restoring services when issues arise outside European business hours. - Be the first responder for platform incidents during India business hours: triage alerts, assess impact, execute recovery procedures, and hand off with clear context to the European team — ensuring the system is stable before they start their day. - Develop and evolve knowledge graph data models, RDF-based ontologies, and SPARQL queries that structure and power our AI application's reasoning and retrieval capabilities. - Build automated data quality checks and evaluation pipelines that detect regressions and ensure the knowledge graph remains accurate and consistent. - Contribute to CI/CD pipeline development and infrastructure-as-code, supporting reliable, automated delivery. - Collaborate with architects, engineers, and product owners across time zones to deliver platform improvements and resolve cross-functional dependencies. - Mentor junior engineers on data engineering practices, Kubernetes operations, and knowledge graph fundamentals. **What You Bring** - Total of 10+ years of professional experience - 6+ years of professional experience in data engineering or backend software engineering, with demonstrated ownership of production systems. - Strong, hands-on Kubernetes expertise: you are comfortable diagnosing pod failures, inspecting logs, managing deployments, and restoring service health independently — without waiting for guidance. - Solid experience with cloud-native infrastructure on a major cloud platform (SAP BTP, AWS, GCP, or Azure); familiarity with Helm, K8s Operators, Crossplane, Flux, ArgoCD, kubectl, and infrastructure-as-code tooling. - Proven experience building and operating data pipelines at scale — including ETL/ELT workflows, streaming infrastructure (Kafka or similar), data validation, and pipeline monitoring. - Comfort operating as an on-call engineer: you can independently triage and resolve incidents, distinguish signal from noise, and communicate status clearly to a distributed team. - Experience with observability tooling: Grafana, Prometheus, alerting with BTP Alert and Notification service, and log analysis. - Solid understanding of knowledge graph or semantic technologies (RDF, OWL, SPARQL) — or a demonstrable aptitude and motivation to develop this expertise quickly. - Strong programming skills in Python; experience with TypeScript or Java is an advantage. - Excellent written and spoken English; ability to collaborate asynchronously and hand off clearly across time zones. - B.Tech or M.Tech in Computer Science, Information technology, or a related field. **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 plays a pivotal part in ensuring global service continuity: you are the team's operational presence during hours when Europe is offline. Join a global team of engineers, researchers, and AI experts building the semantic foundation of SAP's intelligent enterprise. #SAPInternalT3 #DataEngineerT3 **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 he