Associate Data Engineer: Build Data Pipelines & ETL

Cooke Inc.; New Brunswick; Hybrid; CAD 50,000 - 75,000; Full time

Benefits offered by this job

Health benefits

Life & disability insurance

Employee Assistance Program (EAP)

RRSP matching

Paid vacation & holidays

Wellness programs

Career development

Employee discounts

On-site parking

Job summary

Cooke is a global seafood company seeking an Associate Data Engineer to support the development and operation of basic data pipelines that ensure accurate, reliable data movement between systems. You will help extract, transform, and load data using standard tools and SDLC practices under guidance.

Initial responsibilities include building pipelines, monitoring data flows, and documenting datasets, workflows, and integration processes while escalating complex issues to senior engineers.

Qualifications

• Currently enrolled in, or recently completed, a diploma or degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 0–2 years in data development, ETL support, or a related technical co-op or internship.
• Basic SQL and scripting, data modelling fundamentals, attention to detail, and eagerness to learn.

Responsibilities

• Build and test basic data pipelines under supervision using standard tools and SDLC frameworks.
• Extract, transform, and load data from source systems following established design patterns.
• Monitor daily data flows and troubleshoot errors or failed jobs.
• Maintain and document datasets, workflows, and integration processes.
• Escalate complex issues or data anomalies to senior engineers or architects.

Skills

Basic SQL

Scripting

Data modelling

Data structures

ETL/ELT support

Education

Diploma/Degree in Computer Science or related field

Tools

Snowflake

DBT

Fivetran

Boomi

API integrations

Job description

Cooke is a global seafood company seeking an Associate Data Engineer to support the development and operation of basic data pipelines that ensure accurate, reliable data movement between systems. You will help extract, transform, and load data using standard tools and SDLC practices under guidance.

Initial responsibilities include building pipelines, monitoring data flows, and documenting datasets, workflows, and integration processes while escalating complex issues to senior engineers.