Location: Canada – Remote

Compensation - $130,000-$150,000 CAD

Overview / Objective

We are seeking an Analytics Data Engineer to join our client's Sports Analytics & Engineering Practice. This role is focused on turning ingested data into trusted, high-value analytical assets that power dashboards, insights, and decision-making across digital products, marketing, and fan engagement.

You will own the analytics layer of the data platform, building dimensional models and transformation logic that serve as a single source of truth for analysts, data scientists, and BI teams.

Key Responsibilities
Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating
Develop and maintain dimensional data models optimized for analytics and BI consumption
Own the analytics data layer in DBT, enabling self-service analytics for business users
Collaborate with product, analytics, and BI teams to translate business requirements into data models
Enhance and maintain analytics codebases including DBT models, macros, tests, and documentation
Implement data quality checks, tests, and governance-aligned transformations
Optimize SQL for performance using partitioning, clustering, and materialized views




Ensure semantic consistency and metric definitions across dashboards and reports
Apply software engineering best practices including version control, CI/CD, and peer code reviews
Support Agile development and collaborate with offshore teams for delivery and reviews

Required Qualifications
Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field
5+ years of experience in analytics-focused data engineering
3+ years of deep hands-on experience with DBT, including advanced models, macros, and packages
Robust expertise in dimensional modeling and data warehousing concepts
Proficiency in SQL performance tuning and large-scale analytical query optimization
Experience working with Amazon Redshift and contemporary cloud data platforms
Familiarity with Python and/or Jinja templating for analytics engineering
Experience aligning data models with governance, privacy, and access-control requirements
Agile experience and comfort working with extended offshore teams
Solid ownership mindset, attention to detail, and passion for building clean, trusted data products

📌 Analytics Data Engineer Toronto
🏢 Inizio Partners
📍 Toronto