GRO Program - Data

• 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.

• 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.

• 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, Dev Ops, 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.

• 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.

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

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

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…