About Us
We are building the next-generation Office of the CFO that simplifies finance for all businesses.
SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.
As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.
About the Role
We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi’s data platform.
You will be part of the Data & AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.
This is a high-ownership role focused on building financial data infrastructure from first principles.
This role is based in Saudi Arabia (Relocation).

What You Will Own
Data Modeling and Standards
Define and maintain scalable data models in SQL
Establish structured warehouse layers and modeling best practices
Own KPI definitions and ensure a single source of truth
Ensure financial correctness and metric consistency
Warehouse Architecture
Design and evolve our cloud data warehouse in Big Query
Own transformation workflows using dbt, SQLMesh, or similar tools
Optimize performance, reliability, and cost
Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.
Reliability and Governance
Ensure data quality, integrity, and observability
Implement access controls aligned with compliance requirements
Build a scalable foundation ready for advanced analytics and AI
Cross-Functional Impact
Translate business requirements into robust data systems
Enable trusted reporting and BI across teams
Support experimentation and AI-driven initiatives with well-structured datasets



Requirements

What We Are Looking For
5+ years of experience in Data Engineering or Analytics Engineering
Strong SQL expertise with hands-on data modeling experience
Experience with cloud data warehouses such as Big Query
Experience with modern transformation frameworks such as dbt or SQLMesh
Experience building or supporting production-grade AI/ML pipelines is a strong plus
Ability to operate independently in a fast-moving startup
Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes

Skills: What We Are Looking For

5+ years of experience in Data Engineering or Analytics Engineering

Strong SQL expertise with hands-on data modeling experience

Experience with cloud data warehouses such as Big Query

Experience with modern transformation frameworks such as dbt or SQLMesh

Experience building or supporting production-grade AI/ML pipelines is a strong plus

Ability to operate independently in a fast-moving startup

Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes