Sap data engineer

SAP Data Engineer — (Fin Tech)

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/4 HANA 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/4 HANA 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/4 HANA, ABAP CDS Views

Nice to Have

dbt (Core/Cloud), Docker Desktop, VS Code Snowflake (Virtual Warehouses, Snowsight), Tableau