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
Veem is a fintech platform that transforms cross-border payments for businesses globally. The company combines global payments, FX optimization, and embedded financial solutions to help businesses pay and get paid anywhere in the world. Veem serves customers ranging from SMBs to large platforms, enabling them to simplify operations and expand internationally with confidence. The platform addresses traditional cross-border payment challenges by providing a seamless, transparent, and scalable alternative. Veem operates with a partner-first approach, collaborating closely with partners to drive mutual growth and deliver business impact.
