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Data Engineer

Manulife

Toronto, CAonsite$83k-$119k/yrPosted May 29, 2026

At a glance

Highlights

  • flexible environment
  • global team
  • generous paid time off
  • customizable benefits

Why this role might suit you

The role provides hands‑on work with scalable data pipelines, modern Azure and container technologies, and collaboration across business units, delivering significant impact on analytics initiatives.

Skills

azure-data-factoryazure-databrickspysparkpythonsqlsparkhadoophivedockerkubernetesopenshiftgitpower-bitableauqlikviewdata-modelingdata-warehousedata-lakecloud-securityetldata-pipelinedata-ingestiondata-qualitydata-governanceazureawsgcp

About the role

Join our Group Benefits Product Data Analytics team—a diverse and high-performing group dedicated to delivering accurate data, insightful visualizations, and advanced analytics that drive business decisions and improve customer outcomes.

We are seeking a Data Engineer to play a key role in designing and building scalable data solutions that power business intelligence and analytics initiatives. This position spans the full data lifecycle, including data sourcing, transformation, storage, quality, and lineage, while enabling modern data platforms and capabilities.

Position Responsibilities:

Data Engineering & Architecture

Design, build, and maintain scalable and efficient data infrastructure for data ingestion, transformation, storage, and analysis

Develop and manage end-to-end data pipelines with a focus on data quality, reliability, and lineage

Implement data orchestration processes, including sourcing, cleansing, enrichment, and validation

Build and maintain robust ETL/ELT pipelines with strong fault tolerance and continuous integration

Data Platform & Solutions Development

Design and develop data models, pipelines, and applications to enable efficient data workflows

Integrate data from enterprise systems, data lakes, and other internal/external sources

Contribute to data platform modernization initiatives and roadmap planning

Enhance and support enterprise data and reporting platforms

Business & Analytics Collaboration

Partner with business stakeholders to understand data needs, KPIs, and analytical requirements

Translate business problems into data and analytics solutions, including prototypes and mock-ups

Deliver insights and communicate analytical findings to non-technical audiences

Support advanced analytics use cases, including descriptive and prescriptive analytics

Advanced Data & Innovation

Develop reusable frameworks, automation scripts, and analytical tools

Build containerized data solutions and analytics platforms for diverse data sources

Evaluate emerging technologies and recommend innovative solutions for continuous improvement

Data Quality, Governance & Operations

Monitor, optimize, and troubleshoot data pipelines to improve performance and reliability

Ensure data quality, integrity, and governance across the data ecosystem

Document and validate data sources to enhance data warehouses and data marts

Support full development lifecycle activities, including design, testing, deployment, and post-production support

Leadership & Collaboration

Lead projects or workstreams independently and contribute to planning efforts

Act as a subject matter expert, providing guidance to team members and stakeholders

Collaborate across cross-functional teams with minimal supervision

Drive continuous improvement and contribute to team success

Required Qualifications:

Education & Experience

Bachelor’s or master’s degree in computer science or a related technical field

10+ years of experience in data engineering within enterprise environments

Technical Skills

Advanced SQL expertise and experience with relational databases

Strong hands-on experience with ETL/ELT pipeline design and implementation

Experience with Azure data ecosystem (Azure Data Factory, Azure Databricks)

Proficiency in data processing using PySpark, Python, SQL, or similar technologies

Experience with big data frameworks (Spark, Hive, Hadoop)

Data & Analytics Tools

Advanced knowledge of data visualization tools (Power BI, Tableau, QlikView)

Experience building data ingestion pipelines for structured and unstructured data

Strong understanding of data modeling, data warehouses, and data lake architectures

Experience with cloud platforms (Azure, AWS, or GCP)

Hands-on experience with containerization and orchestration tools (Docker, Kubernetes, OpenShift)

Proficiency in version control systems (Git)

Understanding of cloud security best practices

Preferred Qualifications:

Strong analytical thinking and problem-solving abilities

Ability to work independently and manage complex, evolving requirements

Excellent communication skills with both technical and business audiences

Passion for learning and adopting emerging technologies

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.

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 .

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, Ontario

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 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 .

Compensation

This Data Engineer role pays $83k-$119k/yr. Within typical range for data engineer roles in Canada.

Questions about this role

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