Lead Data Engineer, Azure Data & AI Platform

Manulife/John Hancock; Hong Kong; Hybrid; HKD 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work arrangement

Flexible environment

Job summary

Manulife is seeking a Lead Data Engineer to replace and build data capabilities across the organization. You will lead data engineering efforts, design pipelines, and partner with analytics, data science, and IT teams to enable real-time and batch processing.

The role requires 10+ years in data engineering, cloud platforms (Azure), and strong leadership. You will mentor engineers, ensure data quality, governance, and scalable architecture while documenting pipelines for onboarding and

Qualifications

• 10+ years of experience as a Data Engineer with ETL pipelines and data processing
• Proficient with Azure Data Factory, Databricks, Python/PySpark, Java/Scala
• Knowledge of Azure infrastructure, RBAC, AD, and security principles

Responsibilities

• Lead and mentor data engineers to build a high-performing team
• Design, develop, and manage scalable data pipelines from diverse sources
• Ensure data quality, testing plans, and governance
• Collaborate with cross-functional teams to translate data requirements
• Monitor and optimize ETL processes to improve performance
• Document pipelines and architectures for onboarding

Skills

Leadership

Domain knowledge

Teamwork

Data pipeline development

Data mapping & integration

ETL optimization

Data transformation

Data quality assurance

Platform improvement

Data architecture

User documentation

Performance monitoring

Data governance & compliance

Education

Bachelor’s degree in computer science, IT, or related field

Master’s degree (preferred)

Tools

Azure Data Factory

Databricks

Python/PySpark

Java/Scala

Azure Synapse

GitHub CI/CD

Jenkins

Power BI

ADLS Gen2

Job description

Manulife is seeking a Lead Data Engineer to replace and build data capabilities across the organization. You will lead data engineering efforts, design pipelines, and partner with analytics, data science, and IT teams to enable real-time and batch processing.

The role requires 10+ years in data engineering, cloud platforms (Azure), and strong leadership. You will mentor engineers, ensure data quality, governance, and scalable architecture while documenting pipelines for onboarding and