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Role: Data EngineerLocation: Fully Remote (Canada, EST time zone)Compensation: Salary + Bonus + Health BenefitsAbout VeemVeem 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 VeemImpact: Help businesses move billions globally, more efficientlyGrowth: Be part of a fast-scaling fintech and embedded finance spaceOwnership: Contribute meaningfully and see results quicklyCollaboration: Work cross-functionally across Product, Sales, and OpsInnovation: Shape the future of B2B paymentsJob Description — Data Engineer, BI & Reporting(Analytics Engineer / BI Engineer Hybrid)About the RoleWe’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 engineeringBI/reporting systemsdata modelingworkflow automationAI-supported reporting operationsThis 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 modelsstructure scalable reporting datasetsmaintain dashboards and recurring reporting systemsimprove data quality and governanceautomate reporting workflowssupport AI-driven reporting and QA agentsYou’ll partner closely with cross-functional stakeholders while owning the reliability, scalability, and governance of the reporting layer.What You’ll DoAnalytics Engineering & Data ModelingBuild and maintain scalable SQL/dbt data models, marts, semantic layers, and reporting datasetsClean, structure, and document complex or messy data systemsDevelop trusted reporting foundations for business teamsImprove data consistency, metric governance, and reporting standardsDesign maintainable transformations and reusable analytics layersBI & Reporting OwnershipOwn production dashboards, recurring reports, KPI packs, and reporting workflowsMaintain and improve BI systems across business functionsPartner with stakeholders to define KPIs, business logic, and reporting requirementsEnsure dashboard accuracy, reliability, and usabilitySupport self-serve analytics capabilitiesAutomation & AI-Supported WorkflowsBuild or manage automated reporting workflows and monitoring systemsSupport AI agents and workflow automation related to:reporting QAdata qualityKPI generationdashboard monitoringreporting automationmetric documentationdata freshness checksReview automated outputs and implement QA/governance processesHelp transform manual reporting processes into scalable automated systemsData Quality & GovernanceImplement data QA, validation, monitoring, and alertingMaintain data documentation, metric definitions, and reporting standardsImprove observability and trust in reporting systemsTroubleshoot reporting discrepancies and data issues proactivelyRequirementsMust-Have Qualifications3–6 years of experience in:analytics engineeringBI engineeringreporting engineeringdata analyticsdata modelingreporting automationor similar fieldsAdvanced SQL skillsStrong hands-on dbt experienceExperience building:SQL tablesmartssemantic layersreporting datasetstransformation pipelinesExperience with BI tools such as:LookerTableauPower BIMetabaseSigmaHexModeor similarExperience maintaining dashboards and recurring reports in production environmentsExperience with data QA, monitoring, and reporting automationStrong documentation habits and QA mindsetAbility to independently own reporting infrastructure and workflowsBonus QualificationsStrong bonus points for candidates with:Fintech, payments, or B2B SaaS experienceExperience with:HubSpot dataCRM datarevenue operationscustomer success datapayments or transaction dataKPI governance and metric definition experienceData freshness monitoring and alerting experienceAI tooling or workflow automation experience involving:OpenAIAnthropicn8nAI agentsreporting botsdashboard QA agentsworkflow orchestrationExperience automating manual reporting workflowsWhat Success Looks LikeReporting systems are reliable, scalable, and trustedDashboards and KPI definitions remain consistent across teamsManual reporting work is significantly automatedData quality issues are proactively detected and resolvedAI-supported reporting workflows operate with strong governance and QA
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