Overview
The Asia Data Office is looking for an experienced Senior Full-stack Engineer to support regional data and AI initiatives. This role is ideal for a hands-on engineer who can design and build robust data pipelines, contribute to enterprise data platforms, and develop user-friendly internal applications that improve data accessibility, operational visibility, and business insight.
The successful candidate will work closely with cross-functional teams to deliver scalable, reliable, and secure data solutions across cloud-based platforms. The role requires strong data engineering capability, practical full-stack development experience, and an interest in applying AI and GenAI technologies to improve productivity, automation, and data-driven decision-making.
Key Responsibilities
1. Data Engineering & Pipeline Development
Design, build, enhance, and maintain scalable ETL/ELT data pipelines for ingestion, transformation, validation, and delivery across enterprise platforms.
Implement data solutions using technologies such as Spark, Python, Azure Data Factory, Azure Synapse, Azure Databricks, and other cloud-native data services.
Integrate data from multiple sources into target platforms including Enterprise Data Lake (EDL), data warehouses, etc.
Apply data quality controls, reconciliation checks, automated testing, and monitoring to ensure data accuracy, consistency, and reliability.
Support batch and streaming data use cases where required, including event-based integration patterns.
2. Full-Stack Application Development
Design and develop lightweight internal web applications, dashboards, metadata tools, and utilities that enable business to interact with datasets, data flows, and data services.
Build responsive frontend components using frameworks such as React, Vue, Angular.
Develop backend services and APIs using technologies such as FastAPI, Flask, Node.js.
Integrate applications with EDL, databases, data pipelines, APIs, and other services.
Collaborate with business teams and UX/UI partners to translate requirements into, intuitive, user-friendly and practical internal tools.
3. AI, AA & BI Enablement
Prepare, curate, structure and deliver datasets, data pipelines, data products to support BI reporting, advanced analytics, machine learning, and GenAI use cases.
Integrating AI capabilities into internal tools or workflow automation.
Experimenting with GenAI-assisted data discovery, documentation, code generation, data quality checks, data privacy, security, governance, etc.
Skills and Qualifications
Proficient understanding of distributed computing principles
Good Knowledge of Hadoop cluster, Azure, with all included services
Experience with Azure ADLS, Data Factory, Databricks, Event Hubs
Experience with data engineering projects like integration of data from multiple data sources to a target system
Good knowledge of data querying tools, such as Azure Synapse Analytics, Databricks SQL Warehouse
Knowledge in data streaming such as Spark Streaming, Flink, etc.
Knowledge in Python or other programming language
Experience in SQL and NoSQL database such as Azure SQL, Cosmos, MongoDB, etc.
Knowledge in any Change Data Capture (CDC) solutions such as Debezium is an advantage
Experience in working on Agile projects is an advantage
Experience in Azure Cloud or other Cloud platforms is an advantage
Education and experience
Bachelor's degree preferably in Computer Science or Data/Engineering related courses
10+ years in one or more of the following, Data Engineer, Back-end Engineer, Full-stack Engineer, SDE
Recognized qualification in Service Management helpful
ITIL certification helpful
Project management experience is an advantage
AI-related experience is an advantage
Understanding of the insurance and/or financial industry is an asset
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
- Proficient understanding of distributed computing principles
- 10+ years experience as Data Engineer, Back-end Engineer, Full-stack Engineer, or SDE
- Bachelor's degree in Computer Science or related field
- Design, build and maintain scalable ETL/ELT data pipelines
- Experience with Spark and Spark Streaming
- Experience with Azure Data Factory, Azure Databricks, Azure Synapse
- Experience with Azure Data Lake Storage (ADLS) and Event Hubs
- Good knowledge of Hadoop clusters and Azure platform services
- Experience integrating data from multiple sources into data lakes/warehouses
- Experience with data querying tools (Azure Synapse Analytics, Databricks SQL Warehouse)
- Experience developing backend services/APIs (FastAPI, Flask, Node.js)
- Experience building responsive frontends (React, Vue, Angular)
- Proficiency in Python or another programming language
- Experience with SQL and NoSQL databases (Azure SQL, Cosmos DB, MongoDB)
- Knowledge of data streaming frameworks (Flink, etc.)
- Experience with Change Data Capture (CDC) solutions such as Debezium
- Experience working on Agile projects
- Experience in Azure Cloud or other cloud platforms
- Recognized qualification in Service Management
- ITIL certification
- Project management experience
- AI/GenAI related experience
- Understanding of insurance and/or financial industry
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
