Associate Data Engineer

Cooke Aquaculture Inc. • City of Saint John, NB

1d • Onsite

About The Position

Cooke is a global seafood company with operations in North America, Europe, South America and Australia. Our company’s success is driven by our dynamic, highly skilled, and innovative management team, supported by dedicated employees who live in coastal communities and contribute to the local area’s economy and sense of community. Cooke is continuing to mature its digital strategy through modern data platforms, integrated data pipelines, and enterprise data standards that support operations, processing, distribution, and corporate functions. As an Associate Data Engineer, you will support the development and operation of basic data pipelines that help ensure accurate, reliable data movement between systems.

Requirements

• Foundational data engineering skills, including basic SQL, scripting, data modelling, and understanding of data structures and relationships.
• Ability to support basic ETL and ELT processes, including data ingestion, transformation, integration, and pipeline monitoring under guidance.
• Exposure to modern data tools and platforms such as Snowflake, DBT, FiveTran, Boomi, and API-based integrations.
• Attention to data quality, including profiling datasets, identifying errors, applying validation checks, and following data security practices.
• Willingness to learn enterprise data standards, governance practices, metadata management, and engineering best practices while escalating complex issues appropriately.
• 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.

Nice To Haves

• Exposure to Cooke’s data pipelines, integration tools such as DBT, FiveTran, and Boomi, and an understanding of enterprise data standards and quality expectations.

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.

Benefits

• Health Benefits: Includes coverage for dental, vision, and extended medical care.
• Insurance: Life and disability insurance provided for financial security.
• Support Services: Access to an Employee Assistance Program (EAP).
• Financial Planning: Opportunity for RRSP matching to support your retirement savings.
• Time Off: Paid vacation, holidays, and sick leave for work-life balance.
• Wellness: Wellness programs and access to on-site gym facilities (available in some locations).
• Career Development: Professional growth opportunities and avenues for advancement.
• Perks: Employee discounts on company products or services.
• Convenience: On-site parking or parking allowance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree