SAP Data Engineer — (FinTech)
Role Summary
Data Warehouse & Analytics Developer to design, build and maintain scalable data models and analytics solutions on SAP Datasphere, Snowflake, dbt, SAP Analytics Cloud (SAC) and Tableau — supporting a greenfield SAP S/4HANA RISE implementation and the modernization of the broader data landscape.
Key Responsibilities
- Translate business requirements and logical data models into optimized physical data models in SAP Datasphere and Snowflake.
- Maintain CDS Views in SAP S/4HANA for real-time data extraction; build data models, views, table functions and replication tasks in Datasphere/Business Data Cloud.
- Develop, optimize and maintain dbt models, macros and orchestration workflows, using Docker Desktop containers in VS Code for isolated, consistent dev environments.
- Write high-performance SQL, stored procedures and tasks in Snowflake to support analytical layers.
- Design and optimize dashboards, stories and analytical apps in SAC and Tableau (live and acquired connections).
- Own technical design documentation, test cases, unit/integration testing, and support UAT.
- Support production deployments, troubleshoot data pipelines, and provide hypercare/post-go-live support.
- Follow CI/CD, SDLC and enterprise naming/performance standards.
- Use AI-assisted tools (e.g. Claude, Gemini) to accelerate development, documentation and debugging.
Required Skills
- SAP HANA 2.0 XSA — data flows, DWF, complex SQLScript (must)
- SDLC, CI/CD, Git/version control, logical & physical data modeling (must)
- Advanced SQL
Strong Advantage
- SAP Datasphere (Business Data Cloud), SAC, S/4HANA, ABAP CDS Views
Nice to Have
- dbt (Core/Cloud), Docker Desktop, VS Code
- Snowflake (Virtual Warehouses, Snowsight), Tableau
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