GRO Program - Data

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.

• 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.
• Fa…