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. 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 [email protected] 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 [email protected] for more information about U.S.-specific paid time off provisions.