Toronto, Ontario
Actively hiring, first seen by us 4 hours agoHybrid Base salary range is expected to be between $86,100.00 CAD - $136,100.00 CAD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location. Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent professional experience.
4+ years of experience in data engineering, ETL development, data migration, Cloud data engineering.
Experience building automated extracts and file-based integrations, including CSV, TSV, XML, JSON, or similar formats.
Experience delivering data through SFTP, Managed File Transfer (MFT), APIs, or enterprise integration frameworks.
Strong experience implementing data-quality controls, financial reconciliation, exception handling, data governance and auditability.
Practical experience developing operational or analytical reporting using Power BI, Tableau, SSRS, Crystal Reports, or similar technologies.
Experience with legacy-system modernization and complex data-conversion programs.
Experience with Git, CI/CD pipelines, automated deployment, and DevOps practices for data engineering workloads.
Familiarity with REST APIs, API gateways, Kafka, Azure Event Hubs, or event-driven integration patterns.
Strong communication, analytical, problem-solving skills.
Required Qualifications: - Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent professional experience. - 4+ years of experience in data engineering, ETL development, data migration, Cloud data engineering.
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
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. 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.
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Experience with legacy-system modernization and complex data-conversion programs. - Exposure to Azure Databricks, Synapse, Spark, Python or other modern cloud/data platforms. - Experience with Git, CI/CD pipelines, automated deployment, and DevOps practices for data engineering workloads.
This role will focus on analyzing and transforming complex legacy data, building scalable ETL/ELT pipelines, supporting data conversion and reconciliation, and developing the reports, extracts, and downstream feeds required to enable the future-state platform. The ideal candidate combines strong SQL, Informatica/ADF/Data Bricks, data warehousing, data modeling, ETL, reporting, and data analysis skills with the ability to understand complex business rules and data relationships across legacy and modern platforms. Position Responsibilities:
- Analyze data structures, relationships, transformations, and business rules across multiple legacy systems, and related upstream and downstream platforms. - Design and develop ETL/ELT pipelines using Informatica, Azure Data Factory (ADF), SQL, or Databricks to support data conversion, integration, and downstream delivery. - Support the migration and conversion of data into the target compensation platform and the Data Lake.
- 4+ years of experience in data engineering, ETL development, data migration, Cloud data engineering. - Advanced SQL skills with experience analyzing and transforming large and complex datasets. - Strong hands-on experience with Informatica, Azure Data Factory (ADF), Data Bricks or comparable ETL/ELT platforms.
- Advanced SQL skills with experience analyzing and transforming large and complex datasets. - Strong hands-on experience with Informatica, Azure Data Factory (ADF), Data Bricks or comparable ETL/ELT platforms. - Strong working knowledge of data warehousing, 3NF, Medallion Architecture, dimensional modeling, and enterprise data-model design.
- Experience with Git, CI/CD pipelines, automated deployment, and DevOps practices for data engineering workloads. - Familiarity with REST APIs, API gateways, Kafka, Azure Event Hubs, or event-driven integration patterns. - Background in insurance, financial services, producer compensation, or distribution technology would be a strong asset.
- Build automated data extracts, interfaces, and feeds for Finance, Distribution, Operations, Treasury, and other enterprise consumers. - Develop operational, reconciliation, and analytical reporting using tools such as Power BI, Tableau, Cognos, SSRS, or Crystal Reports. - Develop automated controls to validate record counts, financial totals, balances, results, and source-to-target completeness.
- Strong experience implementing data-quality controls, financial reconciliation, exception handling, data governance and auditability. - Practical experience developing operational or analytical reporting using Power BI, Tableau, SSRS, Crystal Reports, or similar technologies. - Experience with scheduling and orchestration technologies such as ADF, CA WLA or MuleSoft.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
Manulife / John Hancock is seeking a highly skilled Full-Stack Data Engineer, Modernization & Migration to join our Insurance Licensing & Compensation Engineering team.
The successful candidate will play a key role in the migration of legacy licensing & compensation capabilities to vendor Platform & Data Lake.
This role will focus on analyzing and transforming complex legacy data, building scalable ETL/ELT pipelines, supporting data conversion and reconciliation, and developing the reports, extracts, and downstream feeds required to enable the future-state platform.
The ideal candidate combines strong SQL, Informatica/ADF/Data Bricks, data warehousing, data modeling, ETL, reporting, and data analysis skills with the ability to understand complex business rules and data relationships across legacy and modern platforms.
Position Responsibilities:
Required Qualifications:
Preferred Qualifications:
When you join our team:
#LI-Hybrid
The role being advertised is an existing vacancy.
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.
Referenced Salary Location
Toronto, OntarioWorking Arrangement
Base salary range is expected to be between
$86,100.00 CAD - $136,100.00 CADEmployees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
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Toronto, Ontario
- As part of our global team, we’ll support you in shaping the future you want to see. #LI-Hybrid The role being advertised is an existing vacancy.
Working Arrangement Hybrid Base salary range is expected to be between $86,100.00 CAD - $136,100.00 CAD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
This passage needs a closer read in the full description.