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:
o Azure Data Factory
o Azure Databricks
o Azure Synapse Analytics
o Azure Data Lake Storage (ADLS)
o Spark / PySpark
o Python
o SQL
o 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.
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…