Senior Data Engineer

Posted 13 Days Ago
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Chengdu, Four Rivers Province, CHN
In-Office
Senior level
Fintech • Insurance • Financial Services
The Role
Lead the design and delivery of regional health data models, pipelines, and reusable data products. Provide technical leadership, troubleshoot complex engineering issues, enforce scalability and security standards, and oversee testing, deployment, monitoring, compliance, and documentation. Collaborate with health business units, data scientists, AI teams, and technical stakeholders to support analytics, generative AI, provider management, KPI, and claims use cases. Contribute to the data engineering community through best-practice sharing and reusable solutions.
Summary Generated by Built In
1.1.1   Overview:

We are seeking a Senior Health Data Engineer to drive the design and implementation of a common Health Data Model and Health Data Products to provide ready-to-use, easily consumable, trusted data set to support the AI and analytics use cases required to drive Manulife’s Health business ambition. This role is critical in enabling business units to innovate faster, optimize operations, and deliver localized analytics and AI capabilities. The successful candidate will participate in regional health strategic initiatives such as Provider Management Solutions, Health KPIs and Claim Driver analyses/automation, and other Regional/Local Health Analytics/AI use cases that require a common health data model.

As part of ADO, you will have the opportunity to:

  • Lead regional health data initiatives impacting regional and local health businesses
  • Collaborate with data scientists, AI teams, and business leaders in a dynamic, forward-thinking environment.
  • Drive innovation and shape the future of health data products within the organization, to enable cutting-edge analytics/AI use cases including Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, and advanced solutions leveraging OpenAI GPT models and AliCloud Qwen models.

1.1.2   Key Responsibilities:1.1.2.1    Lead Health Data Engineering Design and Delivery
  • Partner with the regional and local health business teams, local data offices, AI/Analytics team, and cross-functional technical teams to design, build, and deploy an Asia regional common health data model, leveraging existing ADO platform, governance, practices and standards.
  • Define engineering standards and enforce best practices for scalability, performance, and reliability.
  • Oversee end-to-end engineering delivery from concept to production, including testing, deployment, and monitoring.
  • Establish robust frameworks, pipelines, and reusable components to develop a common data model across business units, to enable reusability and ready-to-consume data sets.
1.1.2.2   Technical Leadership and Troubleshooting
  • Provide hands-on technical leadership during implementation phases, guiding engineering teams through complex challenges.
  • Act as the primary escalation point for engineering issues across multiple projects.
  • Conduct code reviews, performance tuning, and optimization to ensure high-quality, secure deployments.
1.1.2.3   Compliance, Security, and Risk Management
  • Integrate compliance and security controls into the common Health data model and data products, ensuring adherence to regulatory requirements and internal governance standards.
  • Proactively identify risks related to model deployment, data privacy, and ethical considerations, and implement mitigation strategies.
  • Maintain documentation and audit trails for all Health Data Engineering activities.
1.1.2.4   Community of Practice Contribution
  • Actively contribute to the Data Engineering Community of Practice by sharing best practices, reusable assets, and technical insights.
  • Foster collaboration and knowledge exchange across regions to accelerate Health data product maturity within the organization.

1.1.3   Qualifications & Skills:
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • Experience:
    • 10+ years in one or more of the following
      • Data Engineer
      • Platform Engineer
      • DevOps Engineer
      • Software Engineer
  • Technical Expertise:

o    Proficient understanding of distributed computing principles 

o    Good Knowledge of Hadoop cluster, Azure, with all included services  

o    Ability to solve any ongoing issues with operating the cluster  

o    Experience with Azure ADLS, Data Factory, Databricks, Event Hubs

o    Experience with data engineering projects
i.e. integration of data from multiple data sources to a target system

o    Good knowledge of data querying tools – Azure Synapse Analytics, Databricks SQL Warehouse

o    Knowledge in data streaming (e.g. Event Hubs, Spark)

o    Knowledge in Python and Spark

o    Knowledge in any Change Data Capture (CDC) solutions (e.g. Debezium)

o    Experience on Azure Cloud and/or other Cloud platforms

o    Database development and management (e.g. Azure SQL, Cosmos)

o    Experience with Alibaba Cloud, AI/BI, and/or GenAI is an advantage.

  • Soft Skills:
    • Excellent leadership, communication, and stakeholder management skills.

o    Project management experience is an advantage.

o    Experience in working on Agile projects is an advantage.

o    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

Hybrid

Skills Required

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • 10+ years of experience as a Data Engineer, Platform Engineer, DevOps Engineer, or Software Engineer
  • Proficiency in distributed computing principles
  • Knowledge of Hadoop clusters and Microsoft Azure services
  • Ability to troubleshoot and operate Hadoop clusters
  • Experience with Azure ADLS, Azure Data Factory, Databricks, and Event Hubs
  • Experience integrating data from multiple sources into target systems
  • Knowledge of Azure Synapse Analytics and Databricks SQL Warehouse
  • Knowledge of data streaming technologies such as Event Hubs and Spark
  • Knowledge of Python and Spark
  • Knowledge of Change Data Capture solutions such as Debezium
  • Experience with Azure Cloud or other cloud platforms
  • Database development and management, including Azure SQL or Cosmos DB
  • Leadership, communication, and stakeholder management skills
  • Experience with Alibaba Cloud, AI/BI, or Generative AI
  • Project management experience
  • Experience working on Agile projects
  • Understanding of the insurance 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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

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

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