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Data Engineer Cerebro Co-op (Winter 2027)

  • Toronto, ON, Canada

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Posting language
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Original job description

Job Posting

Data Engineer Cerebro Co-op

Get ready for a Naan-Traditional placement experience! 🫓

We’re not your average bakery. We’re a team of passionate thinkers and doers who are challenging the idea of what a bakery can be. We operate like a startup, powered by creativity and a ‘roll up your sleeves’ mentality, to give our customers the best possible product.

Job SummaryWe’re looking for a curious and driven Data Engineer Co-op to join our data team for an 8-month work term. You’ll work closely with a Senior Data Engineer who will mentor you as you gain hands-on experience with real production data systems. From building pipelines and improving data quality to solving technical challenges, you’ll contribute to the data platforms that help power decisions across the business.

Key Responsibilities

  • Build and maintain data pipelines that ingest, transform, and deliver data across the business
  • Write, test, and debug Python and SQL with guidance from your mentor
  • Monitor pipelines and troubleshoot data quality and performance issues
  • Participate in code reviews, team stand-ups, and technical design discussions
  • Take ownership of well-scoped projects and see your work make it into production

Key Qualifications

  • Currently enrolled in Computer Science, Software Engineering, Data Engineering, Data Science, or a related program
  • Experience with or strong interest in Python and SQL
  • Understanding of databases, data structures, or data pipelines
  • Strong problem-solving skills and curiosity for how data systems work
  • Comfortable learning new technologies and asking questions
  • Collaborative, self-motivated, and excited to take ownership of your work
  • Previous experience with cloud platforms, data engineering tools, or ETL/ELT concepts is an asset

In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization.

FGF Brands may use Artificial Intelligence (AI) tools as part of our recruitment and selection process. These tools may assist in screening, assessing, or selecting applicants. AI tools are used to support our recruitment process, with final hiring decisions made by our recruitment and hiring teams.

FGF Brands is committed to providing an accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the recruitment and selection process. If you require an accommodation, please let our recruitment team know, and we will work with you to meet your accessibility needs.

More about this job

Responsibilities

The Data Engineer Co-op at FGF will build and maintain data pipelines that move data across the business. They will write and debug Python and SQL, monitor pipelines and fix data quality issues.

Requirements

Candidates need current enrolment in Computer Science, Software Engineering, Data Engineering, Data Science or a related program. Experience with or strong interest in Python and SQL, and an understanding of databases and data pipelines, are expected.

Skills

  • Python
  • SQL
  • Data pipelines
  • ETL/ELT
  • Database fundamentals
  • Data structures
  • Data quality monitoring
  • Debugging
  • Code review
  • Problem solving
  • Cloud platforms
  • Technical design

Categories

  • Data & Analytics
  • Software
  • Food & Beverage
  • Technology

Keywords

  • Data Engineer
  • Co-op
  • Python
  • SQL
  • data pipelines
  • ETL
  • ELT
  • data quality
  • databases
  • data structures
  • cloud platforms
  • data engineering tools
  • internship
  • work term
  • Computer Science co-op

Seniority

Entry level

Tools

  • Python
  • SQL

Languages

  • English

Fields of study

  • Computer Science
  • Software Engineering
  • Data Engineering
  • Data Science

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