Veem
51 - 200 employees
Founded 2014
💳 Fintech
🤝 B2B
☁️ SaaS
💰 $31M Series unknown on 2020-10
Fintech • B2B • SaaS
Veem is a fintech payments platform that simplifies global payables and receivables for businesses. It provides multi-currency wallets, virtual bank accounts and virtual/virtual debit cards, supports bank transfers, card payments and checks, and offers features like mass pay, payment scheduling, invoice building, pay links, real-time payment tracking and accounting integrations. Veem exposes APIs and embedding options for partners, is licensed and security‑compliant, and targets businesses needing cross-border disbursements and collections across 100+ countries and 80+ currencies.
Data Engineer – BI & Reporting
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Veem
51 - 200 employees
Founded 2014
💳 Fintech
🤝 B2B
☁️ SaaS
💰 $31M Series unknown on 2020-10
Fintech • B2B • SaaS
Veem is a fintech payments platform that simplifies global payables and receivables for businesses. It provides multi-currency wallets, virtual bank accounts and virtual/virtual debit cards, supports bank transfers, card payments and checks, and offers features like mass pay, payment scheduling, invoice building, pay links, real-time payment tracking and accounting integrations. Veem exposes APIs and embedding options for partners, is licensed and security‑compliant, and targets businesses needing cross-border disbursements and collections across 100+ countries and 80+ currencies.
📋 Description
• own and scale the reporting and analytics infrastructure that powers operational, revenue, customer, and executive decision-making. • analytics engineering • BI/reporting systems • data modeling • workflow automation • AI-supported reporting operations. • 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. • partner closely with cross-functional stakeholders while owning the reliability, scalability, and governance of the reporting layer.
🎯 Requirements
• 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.
🏖️ Benefits
• Health Benefits
Apply Now
