Senior Data and AI Engineer Technical Lead

Senior Data and AI Engineer Technical Lead

Full-time

Join a team that values innovation, collaboration, and data-driven decision-making. Be part of a global community where your expertise and leadership are appreciated, and you can contribute to shaping the future of data engineering at SAP. At SAP, we create a culture where everyone can bring their unique skills, build impactful solutions, and belong to a community that drives success together.

What you’ll build

Ready to lead the AI Revolution?

As a Senior Data & AI Engineer Technical Lead, you will:

• design and build the data engineering framework, reusable components and templates (eg CI/CD), and best practices that we need to boost productivity of hundreds of SAP Data Engineers building AI-ready Data Products.
• extend this data engineering framework to make it easy for AI Agents to discover and consume those Data Products at scale
• turbo charge the Data Product Engineers experience by providing powerful AI-assistant for accelerating Data Product development and operations

You will work on cutting-edge technology stack based of SAP Business AI Platform, extended with Microsoft Azure and Databricks strategic partners technologies

You will work in an international agile team, collaborating closely with product owner and users to shape the desired features, and you will provide actionable solution design and guideline, and deliver incrementally our frameworks and services with your agile team peers.

What you bring

• Successful Data Engineering track record and experience in building Data Product with enterprise quality, preferably in Lakehouse architecture
• Proficiency in Python development
• Proficiency in version control systems (e.g. GitHub) and CI/CD frameworks (e.g. Github Actions), and ability to setup robust pipelines at scale
• Proficient knowledge with Databricks (PySpark, Delta Lake, Unity Catalog) or equivalent technology
• Proficient knowledge in Agentic AI, and know-how knowledge of framework like LangGraph, MCP, A2A
• Proficient knowledge with industry standard microservices (Kubernetes, Docker)
• Proficient English communication skills (written and spoken), required for collaboration with international teams
• Ability to provide actionable technical guidance and to implement engineering excellence practices among agile team peers

Where you belong

CPIT is SAP’s technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. Our Enterprise AI Center of Excellence is leading the charge in embedding AI into business processes, powered by high-quality data and next-gen search architecture. We build and run AI platforms, custom solutions, and AI agents informed by reusable data products that simplify work across SAP. We work in agile, autonomous teams with a culture of trust, creativity, and continuous learning. If you're enthusiastic about AI and want to help shape the future of enterprise technology - this is the place to be

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

What you bring

• Successful Data Engineering track record and experience in building Data Product with enterprise quality, preferably in Lakehouse architecture
• Proficiency in Python development
• Proficiency in version control systems (e.g. GitHub) and CI/CD frameworks (e.g. Github Actions), and ability to setup robust pipelines at scale
• Proficient knowledge with Databricks (PySpark, Delta Lake, Unity Catalog) or equivalent technology
• Proficient knowledge in Agentic AI, and know-how knowledge of framework like LangGraph, MCP, A2A
• Proficient knowledge with industry standard microservices (Kubernetes, Docker)
• Proficient English communication skills (written and spoken), required for collaboration with international teams
• Ability to provide actionable technical guidance and to implement engineering excellence practices among agile team peers

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, procur