The Asia Data Office is looking for an experienced Senior Full-stack Engineerto support regional dataand 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 withcross-functional teamsto deliver scalable, reliable, and secure data solutions across cloud-based platformsThe 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 deliveryacross 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 includingEnterpriseDataLake(EDL), data warehouses,etc.
Apply data quality controls, reconciliation checks, automated testing, and monitoring to ensure data accuracy, consistency, and reliability.
Support batchand 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 thatenable businessto interact with datasets,dataflows, anddataservices.
Build responsive frontend components using frameworks such as React, Vue, Angular.
Developbackend services and APIs using technologies such asFastAPI, Flask, Node.js
Integrate applications withEDL,databases, data pipelines,APIs,and other services.
Collaboratewith businessteamsand UX/UI partners to translate requirements into, intuitive,user-friendlyand practical internal tools.
3 AI,AA& BI Enablement
Prepare, curate, structureand deliverdatasets, data pipelines, data productsto support BI reporting, advanced analytics, machine learning, andGenAI 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 projectslikeintegration of data from multiple data sources to a target system
Good knowledge of data querying tools, such asAzure Synapse Analytics, Databricks SQL Warehouse
Knowledge in data streamingsuch as Spark Streaming, Flink, etc.
Knowledge in Pythonor other programming language
Experience in SQL and NoSQL databasesuch asAzure SQL, Cosmos, MongoDB, etc.
Knowledge in any Change Data Capture (CDC) solutionssuch asDebeziumis an advantage
Experience in working on Agile projects is an advantage
ExperienceinAzure Cloud or other Cloud platformsis 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-endEngineer, Full-stackEngineer, 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 hr@manulife.com
Working Arrangement
Hybrid
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
