Analytics Engineer

Pebl•Toronto, ON

2d•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