Senior Data Engineer (Data & AI)

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 analy​tics 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