About the Role
We are seeking a motivated Data Engineer to join the Global Wealth & Asset Management (GWAM) Asia Data Project. This role will work closely with GWAM stakeholders in Canada and regional teams across Asia to deliver reliable, scalable, and high-quality data solutions that support business and analytics initiatives.
This is an excellent opportunity for a hands-on engineer who enjoys working with modern cloud data technologies and building enterprise-scale data platforms in a collaborative global environment.
Excellent written and spoken English is required, as this role regularly collaborates with business and technology teams in Canada and across Asia.
Key Responsibilities
- Design, develop, and support data pipelines and integrations across multiple source systems.
- Build ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, Spark, Python, and SQL.
- Develop and maintain data ingestion, transformation, and data quality processes.
- Conduct proof-of-concepts (POCs) for new technologies and integration patterns.
- Monitor data pipelines and platform performance, troubleshoot issues, and optimize processing efficiency.
- Maintain and support the Enterprise Data Lake (EDL) to ensure platform stability and reliability.
- Investigate and resolve production incidents and support change requests.
- Develop and maintain technical documentation and operational support materials.
- Perform unit testing, system integration testing, and deployment validation.
- Collaborate with business, technology, and data teams across Asia and Canada.
- Support the design and delivery of business-aligned data products, ensuring datasets are reusable, well-defined, and fit for analytics and reporting needs.
- Participate in Agile delivery ceremonies and support end-to-end project delivery.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
- 5–7 years of experience in Data Engineering, Software Engineering, Platform Engineering, or related technical roles.
- Strong hands-on experience with Azure Data Platform technologies, including:
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)
- Spark / PySpark
- Python
- SQL
- Event Hubs
- Experience with database development and management (e.g., Azure SQL, Cosmos DB).
- Experience building and supporting cloud-based data solutions and enterprise data platforms.
- Experience with Change Data Capture (CDC) technologies (e.g., Debezium) and data integration solutions.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working in Agile delivery teams.
Preferred Qualifications
- Experience in financial services, wealth management, insurance, or asset management industries.
- Knowledge of data governance, metadata management, and data quality practices.
- Understanding of data product concepts, including data domains, reusable data assets, data ownership, data contracts, and business-facing data consumption.
- Experience with AI, Business Intelligence (BI), and/or Generative AI solutions.
Communication Requirements
- Excellent written and spoken English is mandatory.
- Ability to communicate effectively with stakeholders in Canada and across Asia.
- Strong collaboration and stakeholder management skills.
- Comfortable working in a global, multicultural, and distributed team environment.
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.
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 [email protected].
Working Arrangement
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
- 5-7 years of experience in Data Engineering, Software Engineering, Platform Engineering, or related technical roles
- Hands-on experience with Azure Data Factory
- Hands-on experience with Azure Databricks
- Hands-on experience with Azure Synapse Analytics
- Hands-on experience with Azure Data Lake Storage
- Experience with Spark or PySpark
- Experience with Python
- Experience with SQL
- Experience with Azure Event Hubs
- Experience with database development and management, such as Azure SQL or Cosmos DB
- Experience building and supporting cloud-based data solutions and enterprise data platforms
- Experience with Change Data Capture technologies, such as Debezium, and data integration solutions
- Strong analytical, troubleshooting, and problem-solving skills
- Experience working in Agile delivery teams
- Excellent written and spoken English
- Experience in financial services, wealth management, insurance, or asset management
- Knowledge of data governance, metadata management, and data quality practices
- Understanding of data product concepts, data domains, reusable data assets, data ownership, data contracts, and business-facing data consumption
- Experience with AI, Business Intelligence, or Generative AI solutions
Manulife Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
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Retirement Support — Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
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Flexible Benefits — Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.
Manulife Insights
What We Do
Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms








