Senior Data Engineer, Retirement Operations

We are seeking an experienced Senior Data Engineer to support our North American Retirement organization. The role has significant exposure to Senior Leadership and opportunities to collaborate with business stakeholders and data professionals alike. Your day-to-day will involve partnering with business and technology teams to translate data needs into scalable solutions; designing, building, testing, and monitoring cloud-based data pipelines and models; troubleshooting data quality and production issues; optimizing platform performance and reliability; reviewing code and promoting engineering standards; and supporting analytics, reporting, and machine learning use cases with trusted, well-governed data.
Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.

JOB DESCRIPTION

Key Responsibilities:
Collaborate with fellow data engineering colleagues across the organization to deliver secure, reliable, and efficient data engineering solutions
Designs, builds, and maintains reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis.
Implements data orchestration pipelines, data sourcing, cleansing, augmentation, and quality control processes.
Collaborates with business and technology stakeholders to understand current and future data infrastructure requirements.
Designs, builds and maintains scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow; including those specifically tailored for machine learning workflows.
Designs, implements, and maintains existing and future data platforms like data warehouses, data lakes, data lakehouses for structured and unstructured data.
Collaborates with Data Scientists and Engineers to create features and pre-process data for ML models and move data analysis models into production.
Designs and develops analytical tools, algorithms, data landscape modernization roadmaps, and programs to support Data Engineering activities like writing scripts and automating tasks.
Utilizes a variety of data interchange formats to ensure data requirements are met and continuously monitors data integrity across the organization.
Deploys machine learning models with existing production systems and workflows, considering compatibility with other systems, data sources, and APIs.
Designs and promotes effective use of data querying APIs to provide easy access to organizational data sources.
Evaluates, integrates, and manages tools and frameworks within the data engineering ecosystem, ensuring compatibility and efficiency in model development and deployment.
Designs and promotes data versioning and lineage tracking, including transparency and traceability for data used in ML model training and inference.

Job Requirements:
4 or more years of experience as a data engineer or data scientist with proficiency in big data engineering
Ability to collaborate effectively in a large highly matrixed organization with many different data teams
Expert in SQL and PySpark
Knowledge of database systems, data lakes, and NoSQL databases
Knowledge of data warehouse concepts and architectures and working with Parquet files
Proficiency in using job orchestration tools like Roadrunner
Familiarity with data quality and data modelling tools
Proficiency in using version control systems like Git for managing codebase
Experience with Azure cloud environment especially Azure Data Factory, ADLS, and Databricks
Experience with integrating to back-end/legacy environments

Preferred Qualifications:
Experience working on Agile teams using Scrum and Kanban 
Experience with Call Centre analytics and operations
Experience with vector databases and AI engineering
Bilingualism (English and French) is an asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec.
Familiarity with Tabular Editor & Roadrunner
Knowledge of Manulife & John Hancock Retirement products systems and operations.

Decision Authority:

Leads projects or work streams independently and contributes to their planning
Act as professional expertise information resource in creating data engineering solutions to business problems
Requires advanced problem-solving skills

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.

This job description is not a comprehensive listing of all job duties required for this role. We reserve the right to change these duties or assign additional duties at any time with or without notice.

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
Montreal, Quebec
Working Arrangement

Hybrid
Salary range is expected to be between
$113,000.00 CAD - $163,000.00 CAD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual 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 personal information collection statement.