Senior Data Engineer (Data & AI)
Summary
Senior Data Engineer designing and scaling a financial data platform and AI-ready infrastructure for a corporate expense management startup. You will own data modeling, warehouse architecture using BigQuery and dbt, and support production-grade AI/ML pipelines to ensure financial correctness and operational visibility.
About the Role
We are building the next-generation Office of the CFO thatsimplifies finance for all businesses.
SiFiis a corporate expense management platformdesigned to empower accounting teams with seamless control over corporatespending. Our platform allows companies to issue cards with specific spendingrestrictions, ensuring funds are used efficiently and only for approvedexpenses.
As we scale, trusted data becomes core infrastructurepowering financial correctness, operational visibility, andAI-poweredautomation.
What You Will Own
We are looking for a Senior Data Engineer to help define andscale the foundation ofSiFi’sdata platform.
You will be part of the Data & AI team and serve as akey partner to Finance, Product, Engineering, Operations, and Compliance.Yourprimary responsibility will be todesign and own our data platform,modeling standards, and AI-ready infrastructure, ensuring that metricsareaccurate, scalable, and trusted across the organization.
This is a high-ownership role focused on building financialdata infrastructure from first principles.
This role is based in Saudi Arabia(Relocation).
Data Modeling and Standards
- Defineandmaintainscalable data models in SQL
- Establishstructured warehouse layers and modeling best practices
- OwnKPI definitions and ensurea single sourceof truth
- Ensurefinancial correctness and metric consistency
Warehouse Architecture
- Designand evolve our cloud data warehouse inBigQuery
- Owntransformation workflows usingdbt,SQLMesh, or similar tools
- Optimizeperformance,reliability, and cost
- Designand support production-grade AI/ML pipelines ensuring model performance,data integrity, and compliance.
Reliability and Governance
- Ensuredata quality, integrity, and observability
- Implementaccess controls aligned with compliance requirements
- Builda scalable foundation readyfor advanced analy tics and AI
Cross-Functional Impact
- Translatebusiness requirements into robust data systems
- Enabletrusted reporting and BI across teams
- Supportexperimentation and AI-driven initiativeswith well-structureddatasets
Requirements
What We Are Looking For
- 5+ years of experience in Data Engineering or Analytics Engineering
- Strong SQLexpertisewith hands-on data modeling experience
- Experience with cloud data warehouses such asBigQuery
- Experience with modern transformation frameworks such asdbtorSQLMesh
- Experience building or supportingproduction-grade AI/ML pipelinesis a strong plus
- Ability tooperateindependently in a fast-moving startup
- Operateswith high agency, taking end-to-end ownership of complex problems and delivering outcomes