About this role
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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
Requirements
- Ensure dashboard accuracy, reliability, and usability - Support self-serve analytics capabilities Automation & AI-Supported Workflows - Build or manage automated reporting workflows and monitoring systems - Support AI agents and workflow automation related to:- reporting QA - data quality - KPI generation - dashboard monitoring - reporting automation - metric documentation - data freshness checks - Review automated outputs and implement QA/governance processes - Help transform manual reporting processes into scalable automated systems Data Quality & Governance - Implement data QA, validation, monitoring, and alerting - Maintain data documentation, metric definitions, and reporting standards - Improve observability and trust in reporting systems - Troubleshoot reporting discrepancies and data issues proactively
Requirements
Must-Have
Qualifications
- 3 - 6 years of experience in:- analytics engineering - BI engineering - reporting engineering - data analytics - data modeling - reporting automation - or similar fields - Advanced SQL skills - Strong hands-on dbt experience - Experience building:- SQL tables - marts - semantic layers - reporting datasets - transformation pipelines - Experience with BI tools such as:- Looker - Tableau - Power BI - Metabase - Sigma - Hex - Mode - or similar - Experience maintaining dashboards and recurring reports in production environments - Experience with data QA, monitoring, and reporting automation - Strong documentation habits and QA mindset - Ability to independently own reporting infrastructure and workflows Bonus
Qualifications
Strong bonus points for candidates with: - Fintech, payments, or B2B SaaS experience - Experience with:- HubSpot data - CRM data - revenue operations - customer success data - payments or transaction data - KPI governance and metric definition experience - Data freshness monitoring and alerting experience - AI tooling or workflow automation experience involving:- OpenAI - Anthropic - n8n - AI agents - reporting bots - dashboard QA agents - workflow orchestration - Experience automating manual reporting workflows
What Success Looks Like
- Reporting systems are reliable, scalable, and trusted - Dashboards and KPI definitions remain consistent across teams - Manual reporting work is significantly automated - Data quality issues are proactively detected and resolved - AI-supported reporting workflows operate with strong governance and QA Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-engineer-bi-reporting-veem
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