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

Must Haves

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

Nice to Have
Responsibilities

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

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

Must Haves

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

Nice to Have
Responsibilities

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

Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
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📌 Analytics Engineer (3+ years of experience) to build and maintain data transformation pipelines usin (Ontario)
🏢 S.i. Systems
📍 Ontario