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Senior Data Engineer

Pay
Pay not listed
Work setting
Hybrid — work setting source
Working Arrangement Hybrid
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and build an Asia regional common health data model and pipelines

  • Define engineering standards and enforce best practices

  • Oversee end-to-end engineering delivery, including testing, deployment, and monitoring

  • Lead technical troubleshooting and act as escalation point for engineering issues

  • Conduct code reviews and performance tuning

From the employer’s posting
design, build, and deploy an Asia regional common health data model
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
Act as the primary escalation point for engineering issues across multiple projects
Conduct code reviews, performance tuning, and optimization

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
  • Experience with Azure ADLS, Data Factory, Databricks, and Event Hubs
  • Knowledge of Python and Spark
  • Excellent leadership, communication, and stakeholder management skills
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Experience with Azure ADLS, Data Factory, Databricks, Event Hubs
Knowledge in Python and Spark
Excellent leadership, communication, and stakeholder management skills.
Education & alternatives
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

About Manulife Financial

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.

In the employer’s words · Read in context

Apply at Manulife Financial

Posting record

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Status in our records
Live
First seen by us
Sep 30, 202644 days ago
Recorded sightings
115
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 44

Similar jobs usually come down between day 6 and day 56.

At Manulife Financial, jobs usually come down by about day 27.

From 13,649 similar postings that came down, and 179 of Manulife Financial’s. Coming down is not always a hire.

Manulife Financial is hiring

36 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Hadoop
  • Spark
Where the posting names them
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 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 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.
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 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 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)

Your next step

Complete your application on manulife.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Has Manulife Financial posted this job before?

Yes. We’ve followed 2 other Senior Data Engineer jobs there since May 2026. One came down after 47 days. One is still up.

  1. Place not statedCame down after 47 days, first seen May 10
  2. Place not statedStill up after 88 days, first seen Aug 18
  3. This jobUp 45 days so far, first seen Sep 30

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 hr@manulife.com.

Working Arrangement

Hybrid
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Chengdu, Sichuan

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