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Added 16 mins ago
Client Service Representative - Fort Macleod (Part Time)
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Collaborate with internal teams to ensure seamless operations and resolve client issues efficiently.
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Added 1 hour ago
M
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
…and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This…

Manulife

Data Engineer

Toronto, ON, Canada
Waterloo, ON, Canada

$86,100.00 CAD - $136,100.00 CAD · Full-time

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Job details

Pay: $86,100.00 CAD - $136,100.00 CAD
Job type: Full-time
Apply by: Oct 9, 2026
Posting language: English
Posted: Sep 28, 2026

Original job description

Join us at Manulife and be part of a team that strives for excellence, where your efforts will directly contribute to our success. Here, your work will have an important impact, and you’ll be empowered to make decisions that improve our marketing strategies and customer experience.

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.

Position Responsibilities:

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services

Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.

Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use

Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.

Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.

Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.

Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.

Required Qualifications

4 or more years of relevant industry experience as a Data Engineer.

Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks.

Experience implementing and supporting data governance solutions using Databricks Unity Catalog, including metadata management, data lineage, auditing, fine-grained access controls, data discovery, and secure data sharing across enterprise data environments.

Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines.

Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) and designing scalable data ecosystems.

Strong understanding of data warehousing concepts and relational data modeling.

Experience with programming languages such as Python, SQL, Java, and/or Scala.

Understanding of Agile Scrum methodologies and experience working within Agile teams.

Experience in data processing, performance tuning, monitoring, and capacity planning.

Preferred Qualifications:

Excellent communication and interpersonal skills

Excellent analytical, problem solving and solutioning skills

A capacity for constant learning from both success and failure, remaining open to change and continuous improvement

Familiarity with production release and operational support model

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 distributed team, we’ll support you in crafting 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.

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

Waterloo, Ontario

Working Arrangement

Hybrid

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 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.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines and data architecture to support analytical and operational needs. Collaborate with cross-functional teams to ensure data quality, security, and compliance while driving innovation through automation.

Requirements

Requires 4 or more years of experience as a Data Engineer with proficiency in Microsoft Azure services and data pipeline development. Candidates must have strong knowledge of data warehousing, relational modeling, and programming languages like Python or SQL.

Skills

Azure Data Factory
Azure Databricks
ETL/ELT pipelines
Data architecture
Data governance
Python
SQL
Java
Scala
Data modeling
CI/CD
DevOps
Data warehousing
Cloud computing
Agile Scrum

Benefits

Health insurance
Dental insurance
Mental health support
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee assistance plans
Retirement savings plans
Pension plan
Global share ownership plan
Financial education and counseling
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Azure Data Factory
Azure Databricks
ETL
ELT
Data Architecture
Data Governance
Unity Catalog
Data Pipelines
DevOps
CI/CD
SQL
Python
Java
Scala
Data Warehousing
Relational Data Modeling
Agile Scrum
Cloud Computing
Big Data
Synapse
ADLS Gen2
Performance Tuning
Capacity Planning
Automation

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