Remote Data Engineer, BI & Reporting | Analytics Automation

Veem Inc.; Canada; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

Remote-friendly environment

Job summary

Veem Inc. is seeking a Data Engineer, BI & Reporting to own and scale the analytics infrastructure that powers operational, revenue, customer, and executive decision-making.

This hands-on role focuses on analytics engineering, BI systems, data modeling, workflow automation, and AI-supported reporting. The ideal candidate will build clean SQL/dbt models, structure scalable reporting datasets, and maintain dashboards in production.

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.
• 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.

Responsibilities

• Build and maintain scalable SQL/dbt data models, marts, semantic layers, and reporting datasets.
• Clean, structure, and document complex 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.
• Provide data quality monitoring and support AI-driven reporting and QA agents.

Skills

Analytics engineering

BI engineering

Reporting engineering

Data analytics

Data modeling

Reporting automation

Advanced SQL

Tools

Looker

Tableau

Power BI

Metabase

Sigma

Hex

Mode

dbt

Job description

Veem Inc. is seeking a Data Engineer, BI & Reporting to own and scale the analytics infrastructure that powers operational, revenue, customer, and executive decision-making.

This hands-on role focuses on analytics engineering, BI systems, data modeling, workflow automation, and AI-supported reporting. The ideal candidate will build clean SQL/dbt models, structure scalable reporting datasets, and maintain dashboards in production.