Senior data engineer (data & ai)

About the Role We are building the next-generation Office of the CFO thatsimplifies finance for all businesses. Si Fiis a corporate expense management platformdesigned to empower accounting teams with seamless control over corporatespending. Our platform allows companies to issue cards with specific spendingrestrictions, ensuring funds are used efficiently and only for approvedexpenses. As we scale, trusted data becomes core infrastructurepowering financial correctness, operational visibility, and AI-poweredautomation. What You Will Own We are looking for a Senior Data Engineer to help define andscale the foundation of Si Fi’sdata platform. You will be part of the Data & AI team and serve as akey partner to Finance, Product, Engineering, Operations, and Compliance. Yourprimary responsibility will be todesign and own our data platform,modeling standards, and AI-ready infrastructure, ensuring that metricsareaccurate, scalable, and trusted across the organization. This is a high-ownership role focused on building financialdata infrastructure from first principles. This role is based in Saudi Arabia(Relocation). Data Modeling and Standards Defineandmaintainscalable data models in SQL Establishstructured warehouse layers and modeling best practices Own KPI definitions and ensurea single sourceof truth Ensurefinancial correctness and metric consistency Warehouse Architecture Designand evolve our cloud data warehouse in Big Query Owntransformation workflows usingdbt, SQLMesh, or similar tools Optimizeperformance,reliability, and cost Designand support production-grade AI/ML pipelines ensuring model performance,data integrity, and compliance. Reliability and Governance Ensuredata quality, integrity, and observability Implementaccess controls aligned with compliance requirements Builda scalable foundation readyfor advanced analy tics and AI Cross-Functional Impact Translatebusiness requirements into robust data systems Enabletrusted reporting and BI across teams Supportexperimentation and AI-driven initiativeswith well-structureddatasets Requirements What We Are Looking For 5+ years of experience in Data Engineering or Analytics Engineering Strong SQLexpertisewith hands-on data modeling experience Experience with cloud data warehouses such as Big Query Experience with modern transformation frameworks such asdbtor SQLMesh Experience building or supportingproduction-grade AI/ML pipelinesis a strong plus Ability tooperateindependently in a fast-moving startup Operateswith high agency, taking end-to-end ownership of complex problems and delivering outcomes #J-18808-Ljbffr