About the role

Data Engineer scaling BI, analytics engineering, and reporting automation for Veem’s global payments platform. Building trusted dashboards, data models, governance, and AI-supported reporting workflows.

Responsibilities

Own and scale reporting and analytics infrastructure for operational, revenue, customer, and executive decision-making
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
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
Build or manage automated reporting workflows and monitoring systems
Support AI agents and workflow automation for reporting QA, data quality, KPI generation, dashboard monitoring, reporting automation, metric documentation, and data freshness checks
Review automated outputs and implement QA/governance processes
Transform manual reporting processes into scalable automated systems
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

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, and 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
Fintech, payments, or B2B SaaS experience is a bonus
Experience with HubSpot data, CRM data, revenue operations, customer success data, payments or transaction data is a bonus
KPI governance and metric definition experience is a bonus
Data freshness monitoring and alerting experience is a bonus
AI tooling or workflow automation experience involving OpenAI, Anthropic, n8n, AI agents, reporting bots, dashboard QA agents, or workflow orchestration is a bonus
Experience automating manual reporting workflows is a bonus