Senior Data Engineer (Data & AI)📣 Job Ad

About the Role

SiFi is developing a next-generation Office of the CFO, a corporate expense management platform designed to provide accounting teams with comprehensive control over corporate spending. The platform enables companies to issue cards with specific spending restrictions, ensuring efficient fund utilization for approved expenses. As SiFi scales, trusted data becomes essential infrastructure for financial accuracy, operational insight, and AI-powered automation.

We are seeking a Senior Data Engineer to join our Data & AI team. This role is pivotal in defining and scaling the foundation of SiFi's data platform. The Senior Data Engineer will partner with Finance, Product, Engineering, Operations, and Compliance teams. This is a high-ownership position focused on building financial data infrastructure from the ground up, ensuring that all metrics are accurate, scalable, and trusted across the organization. This role is based in Riyadh, Saudi Arabia, and relocation assistance is provided.

Key Responsibilities

• Define and maintain scalable data models in SQL to support the organization's growing data needs.
• Establish structured warehouse layers and implement robust data modeling best practices.
• Own the definition of Key Performance Indicators (KPIs) and ensure a single source of truth for all critical metrics.
• Ensure financial correctness and metric consistency across all data reporting and analysis.
• Design and evolve SiFi's cloud data warehouse architecture, specifically within BigQuery.
• Own and manage data transformation workflows using tools such as dbt or SQLMesh.
• Optimize data warehouse performance, reliability, and cost-effectiveness.
• Design and support production-grade AI/ML pipelines, ensuring optimal model performance, data integrity, and compliance.
• Ensure high data quality, integrity, and implement comprehensive data observability measures.
• Implement and maintain access controls aligned with compliance requirements to safeguard sensitive financial data.
• Build a scalable data foundation ready to support advanced analytics and AI initiatives.
• Translate complex business requirements into robust and efficient data systems.
• Enable trusted reporting and Business Intelligence (BI) capabilities across all teams.
• Support experimentation and AI-driven initiatives by providing well-structured and reliable datasets.

Qualifications and Requirements

• A minimum of 5 years of experience in Data Engineering or Analytics Engineering.
• Strong expertise in SQL with hands-on experience in data modeling.
• Proven experience with cloud data warehouses, such as Google BigQuery.
• Experience with modern data transformation frameworks like dbt or SQLMesh.
• Experience building or supporting production-grade AI/ML pipelines is considered a strong plus.
• Ability to operate independently and effectively in a fast-moving startup environment.
• Demonstrated ability to operate with high agency, taking end-to-end ownership of complex problems and delivering successful outcomes.

Required Skills

• SQL
• Data Modeling
• BigQuery
• dbt
• SQLMesh
• AI/ML Pipelines
• Data Quality
• Data Integrity
• Observability
• Access Controls
• Reporting
• Business Intelligence (BI)
• Experimentation
• Communication
• Ownership

Work Environment and Location

This is a full-time position based in Riyadh, Saudi Arabia. Relocation assistance is provided.