About the role
Role: Data Engineer Location: Fully Remote (Canada, EST time zone)
Compensation: Salary +
Bonus + Health
Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments are slow, expensive, and opaque—we’ve built a platform that makes them seamless, transparent, and scalable. Our solution combines global payments, FX optimization, and embedded financial tools to help businesses—from SMBs to large platforms—operate and grow internationally with confidence. We take a partner-first approach, working closely with customers to unlock revenue opportunities and drive real business impact.
Why Join Veem Impact: Help businesses move billions globally, more efficiently Growth: Be part of a fast-scaling fintech and embedded finance space Ownership: Contribute meaningfully and see results quickly Collaboration: Work cross-functionally across Product, Sales, and Ops Innovation: Shape the future of B2B payments Job Description — Data Engineer, BI & Reporting (Analytics Engineer / BI Engineer Hybrid)
About
the Role We’re hiring a Data Engineer, BI & Reporting to own and scale the reporting and analytics infrastructure that powers operational, revenue, customer, and executive decision-making. This is a highly hands-on individual contributor role focused on: analytics engineering BI/reporting systems data modeling workflow automation AI-supported reporting operations This is not a pure Data Analyst role and not a backend platform Data Engineer role. The ideal candidate is an Analytics Engineer / BI Engineer hybrid who can: build clean SQL/dbt models structure scalable reporting datasets maintain dashboards and recurring reporting systems improve data quality and governance automate reporting workflows support AI-driven reporting and QA agents You’ll partner closely with cross-functional stakeholders while owning the reliability, scalability, and governance of the reporting layer. What You’ll Do Analytics Engineering & Data Modeling Build and maintain scalable SQL/dbt data models, marts, semantic layers, and reporting datasets Clean, structure, and document complex or messy data systems Develop trusted reporting foundations for business teams Improve data consistency, metric governance, and reporting standards Design maintainable transformations and reusable analytics layers BI & Reporting Ownership Own production dashboards, recurring reports, KPI packs, and reporting workflows Maintain and improve BI systems across business functions Partner with stakeholders to define KPIs, business logic, and reporting
