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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. Data Onboarding & Platform Business Enablement, Enterprise Knowledge Graph What you'll build: The SAP Enterprise Knowledge Graph (EKG) integrates SAP's reference data — business data such as products, processes, and business objects, as well as system data such as ERP transaction codes — 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 consultant focused on data onboarding and platform orchestration in the Cross Solution Adoption & Content team, you will join a structured 6–9 month onboarding phase to deeply learn about the EKG, AI application, and the platform — and then transition into building a dedicated consulting practice around EKG data onboarding and service provisioning: - Immerse yourself in the platform during a structured onboarding period: learn the data architecture, ontology standards, ingestion patterns, and platform capabilities hands-on alongside the core engineering team. - You will onboard new datasets that are relevant for the Customer Value Group to grow the EKG into an actionable “Engagement Graph” for CVG. - Own the end-to-end onboarding of new data sources into the EKG — from requirements gathering and data modeling to pipeline implementation, validation, and production rollout. - Design and build scalable, automated data ingestion and transformation pipelines in Python, running on Kubernetes/Kyma, that reliably integrate diverse SAP data sources into the knowledge graph. - Orchestrate complex, multi-step data workflows across the platform — coordinating dependencies, monitoring pipeline health, and ensuring data quality and consistency at scale. - Act as a technical consultant to internal SAP teams seeking to contribute their data to the EKG: guide stakeholders through onboarding processes, translate business data requirements into semantic models, and build repeatable patterns that others can follow. - Develop reusable frameworks, tooling, and playbooks that lower the barrier for future data onboarding — laying the foundation for a scalable, self-service onboarding capability. - Build up a consulting business unit around EKG data onboarding and customer specific knowledge graphs: define service models, engagement patterns, delivery standards, and grow the practice. What you bring: - 5+ years of professional experience in software engineering or data engineering, with a strong focus on data pipelines, or data platform integration. - Previous consulting expertise with completed projects - Strong Python programming skills and hands-on experience building production-grade ETL/ELT pipelines and workflow. - Experience with Kubernetes-based cloud-native development and deployment is a plus. - Interest in and aptitude for knowledge graph or semantic technologies (RDF, OWL, SPARQL) — prior experience is a plus but not required. - Modeling skills with ontologies or UML object models - A consultant mindset: you are comfortable engaging stakeholders, scoping requirements, structuring solutions, and communicating technical concepts to non-technical audiences. - Excellent English communication skills — written and spoken — with the ability to present, document, and persuade across organizational boundaries; additional language skills are a plus. - Ability to think in repeatable patterns and frameworks: you don't just solve the problem at hand; you build something others can use. - Familiarity with SAP BTP or the broader SAP technology ecosystem is an advantage. - Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field. Location : Bangalore / Gurgaon Meet the Team: Cross Solution Adoption & Content evolves the Enterprise Knowledge Graph to a true Customer Engagement Graph, unifying SAP's business and system knowledge — delivered via platform and explored through a neuro-symbolic AI application. We are a global team of engineers, data experts, and researchers building the semantic foundation of SAP's intelligent enterprise — and the consulting capability to scale it. #SAPReturnshipIndiaCareers 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: 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. 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 Guidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: [[id]] | Work Area: [[filter1]] | Expected Travel: [[filter3]] | Career Status: [[filter2]] | Employment Type: [[filter4]] | Additional Locations: [[filter10]] #LI-Hybrid
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.