Senior Data Engineer – Asia GWAM

About the role

Manulife is seeking an experienced Senior Data Engineer to join the Global Wealth & Asset Management (GWAM) Asia Data Project. You will work closely with stakeholders in Canada and across Asia to build scalable data solutions, deliver strategic data products, and establish trusted data foundations for business and analytics initiatives.

Key responsibilities

• Design and build data products and contribute to the overall data product strategy.
• Develop and maintain robust data models (conceptual, logical, physical, dimensional).
• Integrate data from multiple source systems into enterprise data platforms and data products.
• Build enterprise‑scale data pipelines using Azure Data Factory, Databricks, Synapse, Spark, Python and SQL.
• Conduct proof‑of‑concepts for new integration patterns and technologies.
• Maintain and support the Enterprise Data Lake, ensuring platform stability and operational excellence.
• Monitor performance, recommend infrastructure improvements, and optimise code.
• Investigate incidents, support change requests and drive continuous platform improvements.
• Produce technical documentation, design specifications and operational runbooks.
• Support Agile delivery teams through design, development, testing, deployment and production support.

Required profile

• Bachelor’s degree in Computer Science, Engineering, Information Systems or related field.
• 10+ years of experience in Data Engineering, Data Platform Engineering or related technical roles.
• Strong hands‑on experience with Azure Data Platform technologies.
• Extensive data modelling experience for enterprise‑scale platforms.
• Experience designing scalable cloud‑based data solutions and enterprise data platforms.
• Excellent written and spoken English and ability to collaborate with global stakeholders.

Required skills

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake Storage (ADLS)
• Event Hubs
• Spark / PySpark
• Python
• SQL / Databricks SQL Warehouse
• Azure SQL, Cosmos DB
• Change Data Capture (CDC) technologies (e.g., Debezium)
• Streaming technologies and enterprise data lake architectures