Role Overview
This role offers the opportunity to help shape how organizations use and trust data to make informed decisions. You will contribute to building reliable data models, pipelines, and governance practices that support business operations and AI-driven workflows.
What You Will Do
Build and maintain data models and pipelines, contribute to data quality initiatives, and support the delivery of data into business applications and AI-powered workflows.
Why It Might Be a Fit
Ideal for someone curious, detail-oriented, and eager to grow within a modern data environment, with a strong interest in developing expertise in modern data practices.
Requirements
- 1–2 years of experience in analytics engineering, data analysis, or a related technical role
- Foundational SQL skills
- Exposure to dbt or modern data stack technologies
- Familiarity with Python
- Basic knowledge of data schemas, pipelines, and data modeling concepts
- Ability to understand business needs and translate them into reliable, governed data assets
- Strong attention to detail and ability to create clear definitions and documentation for technical and non-technical audiences
Benefits
- Competitive compensation package: CAD $98,000 – $122,750
- Remote work flexibility within Canada
- Opportunity to grow technical expertise in analytics engineering and modern data platforms
- Exposure to AI-powered workflows and innovative data practices
- Collaborative environment with opportunities to work alongside experienced engineering professionals
- Supportive culture focused on learning, feedback, and professional development
- Reasonable accommodations provided throughout the hiring process and employment experience
To apply for this job please visit jobs.lever.co.

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