Data Engineer jobs in Canada
Senior Data Engineer
MATADOR.IA INC.
Senior Data Engineer - Lakehouse, DLP & Governance
Bitfarms
Senior Data Engineer — Snowflake & Data Pipelines (Hybrid)
WELL Health Technologies Corp
Discover more opportunities than anywhere else. Find more jobs nowData Engineer: Real-Time Pipelines & Analytics
Volt Capital
Connect with headhunters to apply for similar jobsSenior Data Engineer — Remote Canada (Snowflake DW)
Infostrux Solutions Inc.
Senior Data Engineer - Real-Time Pipelines & Cloud Data
Plusgrade
Senior Data Engineer - Analytics Pipelines (Remote)
TapMango
Senior Data Engineer — Scale Data Platform & AI Pipelines
Wave HQ
Senior Data Engineer — Real-Time Data & Warehouse Architect
Thumbtack
Remote Senior Software & Data Engineer for Health Tech
NHS
Lead Data Engineer: Fabric Lakehouse Architect (Canada)
Valtech
Geospatial Data Engineer for Climate AI Pipelines
GHGSAT
Senior AI Platform Engineer - Data Pipelines & Vector DB
TD
SCC Application Design Engineer — Data & Cybersecurity
ALSTOM Gruppe
AI Production Data Engineer - Pipelines & MLOps
Canadian Tire
Hybrid Full‑Stack Data Engineer — Spark, Databricks
PowerToFly
Analytics Data Engineer
Job summary
A leading analytics consulting firm is seeking an Analytics Data Engineer to focus on building and optimizing data transformation pipelines. The role is remote, intended for candidates with strong skills in SQL and DBT, and requires a degree in a relevant field along with substantial experience in data engineering and analytics. You will be responsible for crafting data models and ensuring data quality while collaborating with various teams to meet business requirements.
Qualifications
- 5+ years of experience in analytics-focused data engineering.
- 3+ years of deep hands-on experience with DBT, including advanced models.
- Experience working with Amazon Redshift and modern cloud data platforms.
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.
Skills
Education
Tools
Location: Canada – Remote
Compensation - $130,000-$150,000 CAD
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.
- 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
- 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
- Strong 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 modern 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
- Strong ownership mindset, attention to detail, and passion for building clean, trusted data products
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.