Cooke Aquaculture Inc.

Data Engineer

Cooke Aquaculture Inc. City of Saint John, New Brunswick, Canada

Food and Beverage Manufacturing · 10,001+ employees

7 h ago
data-engineer Mid (2-5 yrs) Full-time Canada
Log in to apply, save this posting, or score it against your profile with AI.

About the role

You will design, develop, and optimize data pipelines and transformations to support analytics and operational reporting. Additionally, you will implement data validation and automation processes while collaborating with cross-functional teams to ensure reliable data solutions.

What they look for

Data engineering ETL ELT Snowflake DBT FiveTran Boomi SQL Python Data modeling API integration Data warehousing Data governance Metadata management Pipeline automation Data quality

Requirements

Candidates must have a bachelor's degree in a technical discipline and 2–4 years of experience in data engineering or related roles. Proficiency in SQL, Python, and ETL/ELT tools is required, along with strong data modeling and troubleshooting skills.

Benefits

Dental care Vision care Extended medical care Life insurance Disability insurance Employee Assistance Program RRSP matching Paid vacation Paid holidays Paid sick leave Wellness programs On-site gym Professional development Employee discounts On-site parking

Full description

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 a Data Engineer, you will develop and optimize data integration solutions, implement automation, monitor data quality, and collaborate with architects and business teams to align data solutions with enterprise data models.

The Role

As a Data Engineer, you will design, develop, and optimize data pipelines and transformations that support analytics, operational reporting, and enterprise data integration. You will work independently on routine data engineering activities while partnering with business analysts, architects, application teams, and data stakeholders to deliver reliable, secure, and well-documented data solutions.

Key Responsibilities

  • Design, develop, andoptimizedata pipelines and transformations to support analytics and operational reporting.
  • Implement data validation, cleansing, and quality checks to ensure reliable datasets.
  • Collaborate with business analysts, architects, and application teams to understand and deliver against data requirements.
  • Automate data ingestion and integration processes to improve performance, reliability, and repeatability.
  • Maintain data documentation, metadata, lineage, and technical specifications for ongoing support and reference.

What Success Looks Like

  • Reliable ETL and ELT pipelines are built,maintained, and improved with minimal supervision.
  • Data quality checks, cleansing logic, and validation processes are embedded into data workflows.
  • Data requirements are translated into practical solutions through effective collaboration with analysts, architects, and application teams.
  • Ingestion, integration, and orchestration processes are automated whereappropriate toimprove reliability and performance.
  • Technical documentation, metadata, and lineage remain current and aligned to Cooke’s enterprise data standards.

Core Skills & Competencies

  • Proficient in building and maintaining ETL and ELT data pipelines using tools such as Snowflake, DBT,FiveTran, Boomi, and API-based integrations.
  • Strong SQL, scripting, and data modelling skills, with the ability to map data flows, lineage, and relationships across source and target systems.
  • Ability to implement ingestion, transformation, orchestration, validation, cleansing, and quality checks independently using standard Cooke tools and patterns.
  • Working knowledge of data warehousing, APIs, integration patterns, data security, metadata management, and governance workflows.
  • Strong troubleshooting and collaboration skills to resolve data quality or performance issues and work effectively with architects, analysts, engineers, and business stakeholders.

Behaviors That Drive Success 

  • Adaptability: Adjusts work methods for new tools, priorities, or directions with limited guidance.
  • Business Acumen: Applies business insights to improve processes and make informed decisions.
  • Collaboration & Synergy: Builds strong cross-functional relationships and encourages knowledge sharing.
  • Decisiveness: Makestimely, data-informed decisions within scope.
  • Design Thinking: Uses user-centered design and data insights to inform solutions.
  • Digital Acumen: Applies digital insights to improve work quality or customer experience.
  • Diversity Mindset: Values diversity in teams and ensures inclusivity in discussions and decisions.
  • Growth Mindset:Demonstratescontinuous learning and encourages it in others.
  • Innovative: Applies innovative methods to solve functional or business challenges.
  • Outcome Driven: Delivers measurable results tied to team or project outcomes.
  • Political Savviness: Navigates relationships within the team and immediate area.
  • Risk Taking: Raises issues and suggests improvements when risks are low.

Experience & Qualifications

  • Education:Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline, or equivalent experience.
  • Experience: 2–4 years of experience in data engineering, integration development, analytics enablement, or related technical roles.
  • Skills:Proficiencyin SQL, Python, ETL or ELT tools, data warehousing concepts, APIs, pipeline automation, and data quality troubleshooting.
  • Organization-specific: Hands-on use of Cooke’s cloud data platform, familiarity with data governance and MDM integrations, and alignment with Cooke’s enterprise data model and security standards.

Join our team and enjoy the benefits of full-time year-round employment with competitive rates and a comprehensive benefits package tailored to support your well-being and career growth.

Benefits Package:

  • 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.

If you're looking to join a supportive team environment with opportunities for personal and professional development, apply now and become part of our dynamic team.

The Why 

Why Cooke? Simple - because we are a company that rewards initiative, resourcefulness, and work ethic. We will champion your growth and provide you with the platform to create your path, your career, and your future. 

NOTE: The recruiter is reviewing and interviewing eligible applicants for this position as they are received. If you are interested in this posting, you are encouraged to apply as soon as possible.

#cooke-dnp

Similar roles