Senior Data Engineer - Asia GWAM

About the role

Manulife is looking for an experienced Senior Data Engineer to join its Global Wealth & Asset Management (GWAM) Asia Data Project in Chengdu. The role works closely with GWAM stakeholders in Canada and regional teams across Asia to build scalable data solutions, deliver strategic data products and lay a trusted data foundation for business and analytics. It suits a hands-on engineer combining data engineering expertise with data modelling, in a global, collaborative setting. Excellent written and spoken English is required.

Key responsibilities

• Design and build data products and maintain robust conceptual, logical, physical and dimensional data models.
• Integrate data from multiple sources into enterprise data platforms and products, and build enterprise-scale data pipelines and ETL/ELT solutions.
• Build ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, Spark, Python and SQL.
• Maintain the Enterprise Data Lake (EDL), monitor performance, investigate incidents, support change requests and optimize code.
• Produce technical documentation, design specs and runbooks, and run unit, integration and deployment tests.
• Support Agile delivery teams and collaborate with stakeholders across Asia and Canada.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.
• 10+ years of experience in Data Engineering, Data Platform Engineering, DevOps Engineering or similar roles.
• Experience designing scalable cloud-based data solutions and enterprise data platforms.
• Experience with CDC technologies (e.g. Debezium), streaming technologies and enterprise data lake architectures.
• Agile delivery experience and ability to work in global, distributed teams.
• Excellent written and spoken English.

Required skills

• Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Event Hubs, Spark / PySpark, Python, SQL / Databricks SQL Warehouse.
• Database development and management (e.g. Azure SQL, Cosmos DB).
• Data modelling and data product concepts.

Preferred: financial services, wealth management, insurance or asset management experience; knowledge of data governance, master data management and metadata management; understanding of data products; experience with AI, BI and Generative AI; experience with global teams.