GRO Program - Data

Job summary

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.

Job details

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. #LI-Hybrid 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.

What you’ll do

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.

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

Listed skills

• SQL · Preferred
• Python · Preferred
• Java · Preferred
• Git · Preferred
• Agile · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data engineering
• SQL
• Python
• Java
• Data pipelines
• Data modeling
• Data warehousing
• Git
• Cloud platforms
• Databricks
• Spark
• ETL
• ELT
• Data governance
• Agile
• DevOps
• Data Documentation
• Workplace Inclusivity
• Business Problems
• CI/CD
• Workflow Management
• Time Off Management
• Git (Version Control System)
• Technical Requirements
• Google Cloud Platform (GCP)
• Talent Development
• Information Gathering
• Java (Programming Language)
• Agile Methodology
• Amazon Web Services
• Software Development
• Microsoft Azure
• Mental Health
• Version Control
• Code Review
• Communication
• Computer Science
• Information Systems
• Data Processing
• Computer Engineering
• Continuous Improvement Process
• Data Architecture
• Data Engineering
• Data Governance
• Data Integration
• Extract Transform Load (ETL)
• Data Modeling
• Data Quality
• Data Warehousing
• Debugging

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting
• Data Analyst
• Data Engineer
• Software Developers
• Database Administrators

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