GRO Program - Data

Manulife group; Toronto; Hybrid; CAD 70,000 - 116,000; Full time

Benefits offered by this job

Health, dental, vision

Pension plan

Generous paid time off

Employee assistance

Job summary

Manulife is seeking a data engineering student co-op to design, build, and maintain scalable data pipelines. You will ingest, transform, and prepare data from multiple sources for reporting and analytics, while developing reusable processes and collaborating with engineering teams to deploy data solutions.

You will work with SQL, Python or Java, and gain exposure to cloud platforms and modern data tools like Databricks or Spark. This role emphasizes data quality, governance, and teamwork.

Qualifications

• Experience with SQL to query/manipulate data.
• Experience with at least one programming language such as Python or Java.
• Foundational data engineering concepts: pipelines, processing, databases, integration.
• Exposure to Git and collaborative coding practices.
• Familiarity with cloud platforms (Azure/AWS/Google Cloud) and data tools like Databricks or Spark.
• ETL/ELT, data modeling, or data warehousing.

Responsibilities

• Design, build, and maintain reliable, scalable data pipelines and workflows.
• Ingest, integrate, transform, and prepare data from multiple sources for reporting, analytics, and other business use cases.
• Develop reusable processes that transform raw data into reliable, accessible information.
• Collaborate with engineering teams to deploy data solutions into production environments.
• Participate in code reviews, testing, debugging, documentation, and collaborative development practices.

Skills

SQL

Python/Java

Data pipelines

Data modeling

Git

Cloud platforms

Education

Bachelor's or Master's in CS/Data Science/Engineering

Tools

Databricks

Spark

ETL tools

Job description

Position Responsibilities

• Design, build, and maintain reliable, scalable data pipelines and workflows.
• Ingest, integrate, transform, and prepare data from multiple sources for reporting, analytics, and other business use cases.
• Develop reusable processes that transform raw data into reliable, accessible, and actionable information.
• Contribute to data models and structures that support business and technical requirements.
• Work with databases, data warehouses, and enterprise data platforms to organize and move data across systems.
• Monitor and validate data to support its accuracy, completeness, consistency, and reliability.
• Develop and maintain data quality checks, testing practices, and operational controls.
• Build reproducible code and data workflows using SQL, Python, and modern data engineering tools.
• Collaborate with engineering teams to deploy data solutions into production environments.
• Participate in code reviews, testing, debugging, documentation, and collaborative development practices.
• Support the monitoring, maintenance, troubleshooting, and continuous improvement of data pipelines and systems.
• Collaborate with data engineers, software engineers, analysts, and business partners to understand data requirements and develop solutions.
• Contribute to data documentation, lineage, quality, and governance practices.
• Ensure data solutions align with privacy, security, and data governance principles.

Required Qualifications

• This program is designed for students currently completing undergraduate or graduate degrees who are excited to apply data engineering skills in real-world settings.
• Graduating in December 2026 or May 2027 with a bachelor’s or master’s degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Engineering, Information Systems, or a related field.
• Experience using SQL to query, manipulate, or transform data.
• Experience with at least one programming language, such as Python or Java.
• Understanding of foundational data engineering concepts, including data pipelines, data processing, databases, and data integration.
• Understanding of version control systems such as Git and collaborative coding practices.
• Exposure to cloud platforms such as Azure, AWS, or Google Cloud and data tools such as Databricks or Spark.
• Familiarity with ETL or ELT processes, data modeling, or data warehousing.

Preferred Qualifications

• Internship, co-op, or academic project experience in data engineering, software development, databases, or analytics.
• Understanding of large-scale or distributed data processing concepts.
• Familiarity with software development practices, including testing, debugging, documentation, and code reviews.
• Understanding of Agile, Scrum, DevOps, or CI/CD practices.
• Strong problem-solving and communication skills, with the ability to work collaboratively in teams.
• Aptitude to solve business problems with technology.

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.

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.

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

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 [e-mail].

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$69,525.00 CAD - $115,875.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location.

Benefits

• Health, dental, mental health, vision, short-and-long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans.
• Various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources.
• Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence.
• If you are applying for this role in the U.S., please contact [e-mail] for more information about U.S.-specific paid time off provisions.

Privacy and Data Processing Statement

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.