Senior SAP Developer
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You'll be hands-on building clean-core extensions on SAP BTP, full-stack apps and Fiori experiences, integrations between SAP and Databricks, and AI-assisted finance workflows. You'll also move SAP data into the Lakehouse, write tests, work within CI/CD pipelines, and collaborate closely with functional and product partners.
Requirements
- 6+ years of SAP development experience with at least one end-to-end SAP solution in production
- Strong command of ABAP Cloud, ABAP CDS, RAP, and OData (v2/v4)
- Experience with SAP BTP runtimes and core services
- Experience with SAP Fiori, SAPUI5, and Fiori Elements
- Experience with SAP Integration Suite, API Management, and event-driven patterns
- Understanding of generative AI and agentic concepts including RAG, prompt engineering, tool calling
- Comfort with Git, CI/CD, automated testing, and dev tooling
- Understanding of clean-core principles
- Clear communication and ownership
Responsibilities
- Develop in-app and side-by-side extensions on SAP BTP that keep the core clean
- Build full-stack applications on the Databricks platform that extend SAP
- Implement secure integrations using SAP Integration Suite, event-driven patterns, APIs, and OData v4
- Build AI and agentic capabilities using RAG, prompt engineering, tool calling, and human-in-the-loop controls
- Build pipelines to land SAP data in Databricks
- Write unit and integration tests and work within CI/CD and transport pipelines
- Participate in code reviews and follow security standards
- Collaborate with technical lead, functional experts, and product owners