Analytics Engineer (3+ years of experience) to build and maintain data transformation pipelines using dbt- 1976

Analytics Engineer (3+ years of experience) to build and maintain data transformation pipelines using dbt- 1976

Our consumer business client is seeking a Analytics Engineer (3+ years of experience) to build and maintain data transformation pipelines using dbt- 1976

Join a data analytics team supporting analytics, reporting, and data science initiatives within the food industry. This role focuses on building scalable data transformation pipelines, improving data quality, and enabling trusted decision‑making through well‑modeled data assets. The position partners closely with analytics, engineering, product, and business teams to improve data infrastructure and optimize data reliability.

Location:

Toronto/Hybrid (4 Days on Site - WFH Friday)

Duration: 3 Months
- Chance to convert Fulltime after

• 3+ years in analytics engineering
  , data engineering
  , or business intelligence engineering
• SQL and data modeling for building and maintaining data models
• dbt or similar data transformation framework
• Data warehousing
  , database design
  , and enterprise cloud data warehouses
• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field

• Develop, maintain, and optimize data transformation pipelines using dbt
• Design and implement scalable data models across business domains
• Establish and maintain data quality checks, testing frameworks, and validation processes
• Optimize data pipelines for performance, scalability, and maintainability
• Collaborate with analytics, data science, product, engineering, and business teams to deliver data solutions
• Monitor and troubleshoot data pipeline failures, performance issues, and data discrepancies
• Develop and maintain technical documentation for data models, schema definitions, lineage, and transformation logic

Our consumer business client is seeking a Analytics Engineer (3+ years of experience) to build and maintain data transformation pipelines using dbt- 1976

Join a data analytics team supporting analytics, reporting, and data science initiatives within the food industry. This role focuses on building scalable data transformation pipelines, improving data quality, and enabling trusted decision‑making through well‑modeled data assets. The position partners closely with analytics, engineering, product, and business teams to improve data infrastructure and optimize data reliability.

Location:

Toronto/Hybrid (4 Days on Site - WFH Friday)

Duration: 3 Months
- Chance to convert Fulltime after

• 3+ years in analytics engineering
  , data engineering
  , or business intelligence engineering
• SQL and data modeling for building and maintaining data models
• dbt or similar data transformation framework
• Data warehousing
  , database design
  , and enterprise cloud data warehouses
• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field

• Develop, maintain, and optimize data transformation pipelines using dbt
• Design and implement scalable data models across business domains
• Establish and maintain data quality checks, testing frameworks, and validation processes
• Optimize data pipelines for performance, scalability, and maintainability
• Collaborate with analytics, data science, product, engineering, and business teams to deliver data solutions
• Monitor and troubleshoot data pipeline failures, performance issues, and data discrepancies
• Develop and maintain technical documentation for data models, schema definitions, lineage, and transformation logic