Associate Data Engineer Job Saint John area,New Brunswick Canada,IT/Tech

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.

The Role

As an Associate Data Engineer, you will build and support basic data pipelines under guidance. You will help ensure data is extracted, transformed, and loaded accurately between systems using standard tools, established design patterns, and approved software development lifecycle practices.

Key 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.

What Success Looks Like

Basic data pipelines are built, tested, and supported accurately under guidance.

Daily data flows are monitored consistently, with errors identified and escalated appropriately.

Datasets, workflows, and integration processes are documented clearly and kept current.

Work follows established design patterns, SDLC practices, and enterprise data standards.

Learning progress is demonstrated through increased confidence with Cooke’s data platforms, tools, and engineering best practices.

Core Skills & Competencies

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, Five Tran, 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.

Behaviors That Drive Success

Adaptability:
Adapts to minor changes with support; remains calm in routine disruptions.

Business Acumen:
Understands basic business processes and terminology.

Collaboration & Synergy:
Works cooperatively with team members on shared tasks.

Decisiveness:
Makes informed decisions in familiar situations; seeks guidance when uncertain.

Design Thinking:
Applies basic design or process improvement techniques to specific problems.

Digital Acumen:
Uses digital tools confidently and adapts to new systems.

Diversity Mindset:
Demonstrates openness to other perspectives and working styles.

Growth Mindset:
Seeks development opportunities and applies new skills to work.

Innovative:
Experiments with new approaches and learns from results.

Outcome Driven:
Focuses on completing assigned tasks accurately.

Political Savviness:
Aware of reporting structures and workplace etiquette.

Risk Taking:
Follows established procedures and avoids mistakes.

Experience & Qualifications

Education:

Currently enrolled in, or recently completed, a diploma or degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience:

0–2 years in data development, ETL support, or a related technical co-op or internship.

Skills:

Basic SQL and scripting, data modelling fundamentals, attention to detail, and eagerness to learn.

Organization-specific:
Exposure to Cooke’s data pipelines, integration tools such as DBT, Five Tran, and Boomi, and an understanding of enterprise data…