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Added 29 mins ago
UG
26SEC105 - Long Term Occasional - Guidance – 2 sections (Con Ed)
Upper Grand District School Board
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- Full-time
As part of our recruitment practices, Artificial Intelligence (AI) will not be used in the screening, assessment, or selection process for this job posting.
Added 9 hours ago
M
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- Full-time
…Hancock’s flagship early talent program. It’s more than just a job, it’s a launchpad for your career. GRO offers a consistent, high-quality experience for new graduates across the…
Added 10 hours ago
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Added 16 hours ago
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January 2027 Business Administration (Maintenance Excellence) Co-opNew
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Job IDf99e042d-7629-4822-b82f-521b6bdc1db3Last Updated09/10/2026
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Added 19 hours ago
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The University of British Columbia
Vancouver, BC
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Manulife

GRO Program - Data

Toronto, ON, Canada

$69,525.00 CAD - $115,875.00 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $69,525.00 CAD - $115,875.00 CAD
Job type: Full-time
Apply by: Oct 12, 2026
Posting language: English
Posted: Oct 10, 2026

Original job description

At Manulife John Hancock, we believe in investing in the future, starting with you! Our GRO program is a bold new approach to early talent development, designed to launch your career with the support, structure, and opportunities you need to thrive. GRO is Manulife John Hancock’s flagship early talent program. It’s more than just a job, it’s a launchpad for your career. GRO offers a consistent, high-quality experience for new graduates across the organization.

Launch your tech career with the Data Engineering stream of the GRO Program. This is a two-year program designed to develop future data engineering professionals by contributing to the company’s ongoing initiatives in data architecture, data processing, and analytics enablement. As part of GRO Data Engineering, you’ll gain access to a supportive community and benefit from structured learning, core skills training, mentorship, and leadership exposure, empowering you to grow your skills while making a real impact. With a values-first culture, professional development at every step, and a focus on your well-being and accelerated career progression, GRO Data Engineering is your gateway to a meaningful and future-ready career.

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.

Application Instructions

Please submit your resume in PDF format.

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

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.

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 hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including 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. We also offer eligible employees 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 hr@manulife.com for more information about U.S.-specific paid time off provisions.

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.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable data pipelines while integrating and transforming data from multiple sources. Collaborate with engineering teams to deploy data solutions and ensure data quality, lineage, and governance practices are upheld.

Requirements

Candidates must be currently pursuing an undergraduate or graduate degree in a relevant field with an expected graduation date in 2026 or 2027. Proficiency in SQL and at least one programming language like Python or Java is required, along with foundational knowledge of data engineering concepts.

Skills

Data engineering
SQL
Python
Java
Data pipelines
Data modeling
Data warehousing
Git
Cloud platforms
Databricks
Spark
ETL
ELT
Data governance
Agile
DevOps

Benefits

Health insurance
Dental insurance
Mental health support
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan
Paid time off
Vacation days
Personal days
Sick days

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
Java
Data Pipelines
Data Architecture
Data Modeling
Data Warehousing
Git
Azure
AWS
Google Cloud
Databricks
Spark
ETL
ELT
Agile
Scrum
DevOps
CI/CD
Data Governance
Data Quality
Computer Science
Data Science
Software Engineering
Information Systems
Analytics
Distributed Data Processing
Version Control
Cloud Computing

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