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Added 2 months ago
EB
Senior Analyst, Credit Risk & Collections
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Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required
Added 2 months ago
Senior Java Engineer
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Senior Manager Data Engineering
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Senior Manager, Advanced Analytics
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QA Specialist
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cloud-native platforms, interoperability, and enterprise integration solutions.
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· Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).
Added 3 months ago
A
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Build on the streamlined Yardi data extraction and SQL query processes already in place; continue to improve efficiency and reliability.
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SDET III (IC3) - Software Engineer in Test III
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E
Senior SDET (IC4) - Senior Software Engineer in Test
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Added 2 months ago
CA
Senior Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
Proficient in designing scalable data pipelines, APIs, integrations, orchestration workflows, and automated transformations using tools such as Snowflake, DBT,FiveTran, Boomi, Azure Data…
Added 2 months ago
CA
Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
Skills: Proficiency in SQL, Python, ETL or ELT tools, data warehousing concepts, APIs, pipeline automation, and data quality troubleshooting.
Added 3 months ago
L
Senior Full-Stack Engineer
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Added 3 months ago
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Testeur(euse) logiciel / Software Tester - Digital Information
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Added 3 months ago
AC
Sr Guidewire Developer -PolicyCenter
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- Full-time
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Added 3 months ago
AC
Senior Actuarial Analyst, Claims Analytics
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Développeur(euse) QA / QA Developer
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Intermediate Software Developer
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Added 2 months ago
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Senior Machine Learning Engineer
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Added 3 months ago
IS
Project Manager, Cost Management
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Apply various tools (e.g. Microsoft Excel, Primavera P6, SQL, Tableau, Alteryx, Python) to accomplish project goals.
Added 3 months ago
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Added 3 months ago
IC
AI / Machine Learning Engineer
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Toronto, ON · Waterloo, ON
- $85,000 to $105,000 CAD / year
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We are seeking a motivated and innovative AI / Machine Learning Engineer to join our growing engineering team. This role is ideal for recent graduates and early-career professionals who are…
Added 3 months ago
MF
Software Engineer
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Added 3 months ago
RB
Staff Software Engineer
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Added 2 months ago
PM
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Cooke Aquaculture Inc.

Senior Data Engineer

Saint John, NB, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Aug 10, 2026

Original job 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 Senior Data Engineer, you will design scalable data pipelines, integrations, APIs, and models that support enterprise analytics, operational reporting, and data platform maturity while mentoring others and helping align solutions to Cooke’s data architecture, security, governance, and quality standards.

The Role

As a Senior Data Engineer, you will design, build, and optimize reliable data pipelines, integrations, APIs, and data models across Cooke’s modern data ecosystem. You will work with limited direction to translate complex business and technical requirements into secure, scalable, well-documented solutions, while partnering with architects, analysts, engineers, application teams, and data stakeholders to improve data quality, performance, automation, lineage, and reuse across domains.

Key Responsibilities

Design scalable APIs, data pipelines, integrations, and transformations aligned to Cooke’s data architecture, security, and enterprise standards.
Develop optimized logical and physical data models that support analytics, reporting, integration, and reuse across business domains.
Design automated cleansing, validation, profiling, orchestration, and data quality monitoring processes within data workflows.
Analyze trends, data quality metrics, performance issues, and pipeline reliability to recommend and implement sustainable improvements.
Collaborate with architects, data owners, analysts, application teams, and engineers to integrate multiple tools and systems for end-to-end data movement.
Maintain high-quality technical documentation, metadata, lineage, technical specifications, and reusable patterns to support ongoing operations and knowledge sharing.

What Success Looks Like

Scalable and reusable data pipelines, APIs, and integrations are designed and delivered with strong reliability, security, and performance.
Data models, data flows, and lineage are well understood, documented, and aligned to enterprise data architecture standards.
Automated cleansing, profiling, orchestration, and quality monitoring improve data trust, issue resolution, and operational efficiency.
Complex data quality, performance, and integration challenges are analyzed, resolved, and translated into sustainable improvements.
Cross-functional stakeholders have confidence in the accuracy, usability, documentation, and supportability of delivered data solutions.

Core Skills & Competencies

Proficient in designing scalable data pipelines, APIs, integrations, orchestration workflows, and automated transformations using tools such as Snowflake, DBT,FiveTran, Boomi, Azure Data Factory, SQL, Python, and related technologies.
Strong ability to design logical and physical data models, map dataflowsand lineage, and align solutions to enterprise data architecture and integration standards.
Advanced working knowledge of data cleansing, profiling, validation, metadata management, data quality monitoring, data security, governance workflows, and secure data transfer patterns.
Ability to diagnose complex data quality, performance, and reliability issues and implement sustainable technical improvements across data platforms and integrations.
Strong collaboration, documentation, mentoring, and communication skills to guide stakeholders, support junior team members, and promote reusable data engineering patterns.

Behaviors That Drive Success 

Adaptability: Adapts quickly to new processes, systems, or business needs andremainsproductive in ambiguity.
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: Takes calculated risks within role boundaries.

Experience & Qualifications

Education:Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline, or equivalent experience.
Experience: 4–7 years of progressive experience in data engineering, data integration, analytics enablement, or related technical roles, including experience designing and improving production data pipelines.
Skills: Strongproficiencyin SQL, Python or comparable scripting, ETL/ELT design, data modelling, API integration, orchestration, pipeline automation, data quality management, and cloud data platform concepts.
Organization-specific: Hands-on experience with Cooke’s data tools and patterns, including Snowflake, DBT,FiveTran, Boomi, Azure Data Factory, governance and metadata practices, MDM integrations, and alignment to 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

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More about this job

Responsibilities

The Senior Data Engineer will design, build, and optimize scalable data pipelines, APIs, and data models to support enterprise analytics and operational reporting. They will also collaborate with cross-functional teams to implement automated data quality monitoring, lineage, and governance standards.

Requirements

Candidates must have a bachelor's degree in a technical discipline and 4–7 years of progressive experience in data engineering or integration. Proficiency in SQL, Python, and cloud-based data tools like Snowflake and DBT is required.

Skills

Data engineering
SQL
Python
Snowflake
DBT
FiveTran
Boomi
Azure Data Factory
Data modeling
API integration
ETL/ELT
Data quality management
Data governance
Metadata management
Orchestration
Cloud data platforms

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
DBT
FiveTran
Boomi
Azure Data Factory
SQL
Python
ETL
ELT
API
Data Modeling
Data Governance
Data Quality
Metadata Management
Data Lineage
Cloud Data Platform
Orchestration
Data Integration
Analytics
Enterprise Data Architecture
MDM
Data Security
Automation
Data Pipelines

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