Full Stack Data Engineer

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 themigration 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:

• 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.
• Perform source-to-target mapping, data profiling, cleansing, transformation, validation, and reconciliation throughout the migration lifecycle.
• Design and maintain 3NF, dimensional, and analytical data models supporting business processing, reporting, reconciliation, and downstream consumption.
• 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.
• Partner with business analysts, engineers, architects, and Operations to translate legacy data structures and processing requirements into future-state solutions.
• Investigate complex data issues across source systems, transformation layers, target vendor platform, and downstream consumers and support root-cause analysis and remediation.
• Build and maintain scheduling, monitoring, alerting, restart, and exception-handling capabilities for production data pipelines.
• Maintain clear data lineage, mappings, transformation rules, technical specifications, and reconciliation evidence to support auditability and production readiness.
• Contribute to migration planning, test-data preparation, conversion rehearsals, parallel validation, cutover, and post-production stabilization.

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.
• 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.
• Work experience with large-scale data migration or system-conversion initiatives, including source-to-target mapping, profiling, transformation, validation, and reconciliation.
• 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 scheduling and orchestration technologies such as ADF, CA WLA or MuleSoft.
• Strong analytical and troubleshooting skills with the ability to reverse-engineer complex legacy data structures and transformation logic.
• Strong communication skills with the ability to work across engineering, architecture, operations, and business teams.

Preferred Qualifications:

• 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.
• 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.
• Strong communication, analytical, problem-solving skills.
• Experience with AI, Business Intelligence (BI), and/or Generative AI solutions.

• 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.

#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 .

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 .

Referenced Salary Location

Toronto, Ontario

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 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 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 .