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Senior Data Engineer (f/m/d) - Intelligent Operations
SAP IT Business Systeme
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 11/4/2026
About this role
Job Description Job Description Intelligent Operations | CIS FDE Technology & Operations "We support and guardrail AI forward deployed engineering engagements across SAP industries — ensuring quality, security and lasting impact." In this role, you belong to the Intelligent Operations pillar of T&O — the operational backbone of CIS Forward Deployed Engineering. Your job is to build and maintain the data infrastructure that keeps deployed AI solutions reliable, governed, and continuously improving. What you’ll bring You’ve built and operated the data infrastructure that AI systems depend on — not experimental notebooks, but production data pipelines that feed agents, models, and customer-facing applications at scale. You have deep expertise in data pipeline development, data governance, and data infrastructure management across cloud-native environments. You understand that data quality in AI-native operations is fundamentally different from traditional data engineering. The data flowing through agentic systems needs to be validated, governed, and traceable — not just available. Experience with knowledge graph integration, master data management and customer data handling in enterprise environments gives you a head start. What’s non-negotiable is that you know how to build data infrastructure that’s production-grade and scales without manual intervention. You can work across organizational boundaries — with application engineers, platform teams, delivery squads, and data science teams — and you’re comfortable defining data standards and governance practices that others will follow. You’ve done this before: not just built pipelines, but built the data layer that production systems trust. What you’ll build You’re building the data backbone for Intelligent Operations. Every AI solution CIS deploys depends on data — for inference, for evaluation, for drift detection, for continuous improvement. That data layer is your domain. Concretely: * Production data pipelines: Design, build, and maintain the data pipelines that feed our own systems based on deployed AI agents and applications. This includes ingestion, transformation, enrichment, and delivery — all automated, monitored, and resilient. * Data governance and compliance: Establish and enforce data governance practices across customer engagements. Data privacy, data boundary enforcement, lineage tracking, and audit trails — baked into the infrastructure, not managed in spreadsheets. Regulated industries are a significant part of our customer base. * Knowledge graph and semantic data: Build and maintain knowledge graph infrastructure that powers our internal agent context and retrieval. As IAI solutions grow more agentic, the quality of structured knowledge becomes a differentiator in our own production processes — not just in demos. * Data quality and validation: Automated validation frameworks for production data. Drift in data quality is the silent killer of AI system performance. You’ll build the checks that catch degradation before it impacts our agentic solutions or customer SLAs. * Data product lifecycle: Treat data assets as products with versioning, documentation, ownership, and lifecycle management. Work with the Knowledge & IP team to ensure data assets are reusable across engagements — so the next customer project doesn’t start from zero. You’ll work closely with the Application Engineering and Platform Engineering teams. They operate the solutions and the infrastructure — you ensure the data underneath is solid, governed, and continuously improving. Where you belong T&O’s mission: ensure quality, security, and lasting impact across AI engagements for SAP’s industry customers. The CTO Office defines how we build. T&O manages what CIS has built — ensuring every engagement is production-grade and reusable. Within Intelligent Operations, you own the data layer that everything else depends on. Without reliable, governed data infrastructure, there’s no trustworthy AI in production — just models running on hope. This is a technical leadership role. You’ll define data engineering standards, mentor engineers, and shape the data strategy for a capability that’s being stood up now. You’ll work globally, across FDE squads and hubs, with external delivery partners, and with the SAP data and analytics ecosystem when integration questions need answers. If you’ve spent your career making data infrastructure production-grade — and you want to define what data engineering looks like for enterprise AI operations — this is the role. We value the skills you bring and support you to build on them through our learning and development opportunities. These are the skills associated with this role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication, Data Governance, Data Pipeline Development, Knowledge Graph Integration and Interaction, Data Product Lifecycle Management, PII Handling SAPAICareers Additional Information About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives. As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. 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. 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.