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WC
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Manulife

Winter Co-op 2027 - Data Engineering

Toronto, ON, Canada

Please note the salary range is expected to be between $52,650 CAD to $70,200 CAD. · Full-time

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Job details

Pay: Please note the salary range is expected to be between $52,650 CAD to $70,200 CAD.
Job type: Full-time
Apply by: Nov 10, 2026
Posting language: English
Posted: Oct 12, 2026

Original job description

At Manulife John Hancock, we believe in investing in the future – starting with you. Our Technology Co-op Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark. Our co-op program offers more than just experience; you'll join a vibrant community, participate in engaging events, and benefit from personalized mentorship.

As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and platforms to design, build, and optimize scalable data pipelines and workflows, helping transform raw data into meaningful, actionable information. Join a supportive team and experience a values-first culture where your career development and well-being are prioritized alongside your job impact. We offer multiple roles within this program, providing support from our diverse, passionate, and talented technology teams. You’ll receive guidance from experienced engineers while gaining exposure to data architecture, data processing, and analytics workflows in an enterprise environment.

We are currently looking for a highly motivated student to join us in our Toronto, Ontario, Canada office for a 4-month co-op, running from January 5th – April 22nd 2027. This is a hybrid position, where you are expected to be in the office Tuesday-Thursday, with the opportunity to work remotely on Mondays and Fridays. 

Position 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

Required 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

Preferred Qualifications:

Exposure to data tools (e.g., Spark, Databricks, or similar technologies)

Basic understanding of ETL processes, data modeling, or data warehousing

Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud)

Understanding of large-scale data processing concepts

When you join our team:

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

As part of our co-op program, you will gain early access to Manulife John Hancock’s premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive.

Application instructions:

Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file.

Please note the salary range is  expected to be between $52,650 CAD to $70,200 CAD.

The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. The annual salary will be pro-rated based on the length of the work-term

This posting supports an ongoing hiring initiative for existing and/or future vacancies.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Working Arrangement

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More about this job

Responsibilities

You will contribute to building and maintaining scalable data systems and pipelines to support business insights. This involves collaborating with engineering teams to perform data ingestion, transformation, and preparation for analytics.

Requirements

Candidates must be currently pursuing an undergraduate degree in Computer Science, Engineering, or a related field. Proficiency in SQL and at least one programming language like Python or Java is required.

Skills

SQL
Python
Java
Data engineering
Data pipelines
Data processing
Git
Bitbucket
Spark
Databricks
ETL
Data modeling
Data warehousing
AWS
Azure
Google Cloud

Benefits

Mentorship
Professional development
Inclusive work environment
Hybrid work flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
Java
Data Pipelines
Git
Bitbucket
Spark
Databricks
ETL
Data Modeling
Data Warehousing
AWS
Azure
Google Cloud
Data Architecture
Analytics
Co-op
Technology
Enterprise Environment

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