Senior AI Engineer, Databricks

We are seeking a Senior AI Engineer, Databricks, to design and build the data engineering framework, reusable components, and best practices that empower hundreds of SAP Data Engineers to create AI-ready Data Products at scale, while extending this framework for AI Agent consumption and enhancing the developer experience through AI-assisted tooling.

Responsibilities

Design and build data engineering frameworks, reusable components, and templates such as CI/CD pipelines to boost productivity across data engineering teams Establish best practices for building AI-ready Data Products with enterprise-grade quality Extend the data engineering framework to enable AI Agents to discover and consume Data Products at scale Develop and integrate AI-assistant capabilities to accelerate Data Product development and operations Set up robust, scalable pipelines leveraging version control and CI/CD frameworks Collaborate with international, agile teams to deliver engineering excellence Provide actionable technical guidance to team peers to elevate engineering standards Drive adoption of Lakehouse architecture principles across Data Product initiatives Requirements 3+ years of experience in Data Engineering with a proven track record of building enterprise-quality Data Products, preferably in Lakehouse architecture Proficiency in Python development Proficiency in version control systems such as GitHub and CI/CD frameworks such as GitHub Actions Strong knowledge of Databricks technologies including Py.

Spark, Delta Lake, and Unity Catalog, or equivalent technology Strong knowledge in Agentic AI and frameworks such as Lang. Graph, MCP, and A2A Strong knowledge of industry-standard microservices technologies including Kubernetes and Docker Strong English communication skills, both written and spoken, for collaboration with international teams Ability to provide actionable technical guidance and implement engineering excellence practices among agile team peers