About the role

Data Engineer owning and scaling the analytics and reporting infrastructure at Veem. Focused on BI engineering, data modeling, automation, and cross-functional collaboration.

Responsibilities

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.

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.