Senior Data Engineer (Data & AI)
Summary
Build and own SiFi’s cloud data warehouse in BigQuery, model financial metrics in SQL, and design AI-ready pipelines to power trusted reporting and automation for corporate expense management.
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 BigQuery
- 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
- 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 BigQuery
- 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