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About the Role
Launch your tech career with the Data Engineering stream of the GRO Program. This two-year program develops future data engineering professionals by contributing to the company’s ongoing initiatives in data architecture, data processing, and analytics enablement. You’ll gain access to a supportive community, structured learning, core skills training, mentorship, and leadership exposure, empowering you to grow your skills while making a real impact.
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.
Requirements
- 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.
Skills
- SQL
- Python
- Java
- Git
- Azure
- AWS
- Google Cloud
- Databricks
- Spark
- ETL
- ELT
- Data Modeling
- Data Warehousing
- Problem-solving
- Communication
Location
- Toronto, Ontario
Work Type
- Hybrid
Experience Level
- Early Talent
- New Graduate
Education Level
- Bachelor's Degree
- Master's Degree
Salary/Compensations
- $69,525.00 CAD - $115,875.00 CAD
Benefits
- Health insurance
- Dental insurance
- Mental health support
- Vision insurance
- Short-term disability coverage
- Long-term disability coverage
- Life insurance
- AD&D insurance
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- Pension plan
- Global share ownership plan with employer matching contributions
- Financial education resources
- Financial counseling resources
- Holidays
- Vacation days
- Personal days
- Sick days
- Statutory leaves of absence
About the Company
- Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
Equal Opportunity
- 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.