Analytics Engineer

PeblToronto, ON
Hybrid

About The Position

We are looking for an experienced Analytics Engineer to help design and implement our data platform. You will contribute to our data ecosystem by implementing best practices in data modeling, governance, and security while working with modern data technologies.

Requirements

  • 3+ years of data engineering experience, with knowledge of AWS services and modern data stack components (Fivetran, dbt, Airflow, Snowflake, Monte Carlo, Atlan)
  • Hands-on experience with dbt and data modeling techniques
  • Proficiency in SQL and Python for data processing and pipeline development
  • Understanding of data governance and PII handling practices
  • Familiarity with maintaining and optimizing CI/CD pipelines
  • Strong focus on data quality
  • Ability to work collaboratively with engineering, analytics, and business teams
  • Interest in continuously expanding data engineering knowledge

Responsibilities

  • Implement and maintain data pipelines for analytics and operational workflows using SQL and Python
  • Follow best practices in dbt, data modeling, and ELT/ETL development
  • Design and develop data warehouse models, tables, and schemas to support scalable and maintainable analytics solutions
  • Build and sustain workflows with Airflow (Astronomer) for efficient data orchestration
  • Collaborate with teams to implement data solutions aligned with our needs
  • Support data governance practices and handle PII and sensitive data in cloud environments
  • Work with AWS services for infrastructure management and operations
  • Participate in code reviews, documentation, and knowledge sharing to strengthen team capabilities
  • Contribute to continuous improvement of data engineering practices

Benefits

  • Flexible Time Off
  • Parental Leave
  • Health and Dental Insurance
  • Retirement Savings + Employee Incentive Plan
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