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Analytics Engineer

Toronto, Ontario💼 Full-time🗓 2026-06-04 → 2026-07-31

Core

Design and implement a scalable data platform, focusing on data modeling, governance, and security to support analytics and operational workflows.

Role type

Senior Analytics Engineer

Builds

Data pipelines, data warehouse models, and orchestration workflows for analytics and operations

Domain

Cloud data engineering and analytics

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, Python, dbt, data modeling, ELT/ETL development, data orchestration, AWS services, data governance, CI/CD pipelines

Preferred skills

Experience with modern data stack components (Fivetran, Snowflake, Monte Carlo, Atlan), code reviews, knowledge sharing

Technologies

SQL, Python, dbt, Airflow (Astronomer), AWS, Fivetran, Snowflake, Monte Carlo, Atlan

Responsibilities

Implement and maintain data pipelines for analytics and operational workflows; Design and develop data warehouse models, tables, and schemas; Build and sustain workflows with Airflow for efficient data orchestration; Support data governance practices and handle PII and sensitive data in cloud environments; Participate in code reviews, documentation, and knowledge sharing; Contribute to continuous improvement of data engineering practices

Seniority

Senior, hands-on IC

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