Hybrid Data Engineering Co‑op 2027 (Toronto)

Manulife

Toronto

Hybrid

CAD 53,000 - 70,000

Full time

12 hours ago
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Job summary

Manulife John Hancock is offering a Data Engineer Co-op in Toronto, Ontario, for a 4-month term from January 5 to April 22, 2027. This hybrid position requires in-office presence Tue–Thu with remote work on Mon and Fri.

You will build and optimize scalable data pipelines and work closely with teams to turn raw data into actionable insights. You will gain hands-on experience with SQL, Python/Java, and data engineering concepts, while benefiting from mentorship and a values-first culture.

Qualifications

  • Currently pursuing an undergraduate degree in Computer Science, Engineering, or a related field.
  • Experience with SQL and at least one programming language (e.g., Python, Java).
  • Interest in data engineering concepts, including data pipelines and data processing.
  • Familiarity with version control systems (e.g., Git, Bitbucket).
  • Strong communication skills and willingness to learn in a collaborative environment.

Responsibilities

  • Contribute to a team of data engineers focused on building reliable, scalable data systems.
  • Support the development and maintenance of data pipelines and workflows.
  • Assist with data ingestion, transformation, and preparation for reporting and analytics use cases.
  • Collaborate with engineering and business teams to understand data requirements and support solutions.

Skills

SQL
Python
Java
Data pipelines
Communication

Education

Undergraduate degree in Computer Science or Engineering

Tools

Spark
Databricks
Git/Bitbucket

Job description

Manulife John Hancock is offering a Data Engineer Co-op in Toronto, Ontario, for a 4-month term from January 5 to April 22, 2027. This hybrid position requires in-office presence Tue–Thu with remote work on Mon and Fri.

You will build and optimize scalable data pipelines and work closely with teams to turn raw data into actionable insights. You will gain hands-on experience with SQL, Python/Java, and data engineering concepts, while benefiting from mentorship and a values-first culture.

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