Senior Data Engineer (Data & AI)

About UsWe 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 RoleWe 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 OwnData Modeling and StandardsWarehouse ArchitectureReliability and GovernanceCross‑Functional ImpactRequirements5+ years of experience in Data Engineering or Analytics EngineeringStrong SQL expertise with hands‑on data modeling experienceExperience with cloud data warehouses such as BigQueryExperience with modern transformation frameworks such as dbt or SQLMeshExperience building or supporting production‑grade AI/ML pipelines is a strong plusAbility to operate independently in a fast‑moving startupOperates with high agency, taking end‑to‑end ownership of complex problems and delivering outcomesWhat We Are Looking ForDefine and maintain scalable data models in SQLEstablish structured warehouse layers and modeling best practicesOwn KPI definitions and ensure a single source of truthEnsure financial correctness and metric consistencyDesign and evolve our cloud data warehouse in BigQueryOwn transformation workflows using dbt, SQLMesh, or similar toolsOptimize performance, reliability, and costDesign and support production‑grade AI/ML pipelines ensuring model performance, data integrity, and complianceEnsure data quality, integrity, and observabilityImplement access controls aligned with compliance requirementsBuild a scalable foundation ready for advanced analytics and AITranslate business requirements into robust data systemsEnable trusted reporting and BI across teamsSupport experimentation and AI‑driven initiatives with well‑structured datasets#J-18808-Ljbffr