Data Engineer

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 [email protected]. 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 [email protected] 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 [email protected] 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.

Design, develop, and maintain scalable ETL/ELT pipelines and data architecture using Azure services. Collaborate with data professionals to integrate diverse data sources while ensuring data quality, security, and compliance with governance policies.

Requires 4+ years of experience as a Data Engineer with expertise in Microsoft Azure, specifically Azure Data Factory and Databricks. Proficiency in Python, SQL, and data warehousing concepts, along with experience in DevOps and Agile methodologies, is essential.

• Health Insurance • Dental Insurance • Mental Health Insurance • Vision Insurance • Short-term Disability Insurance • Long-term Disability Insurance • Life Insurance • AD&D Insurance • Adoption/Surrogacy Benefits • Wellness Benefits • Employee/Family Assistance Plans • Retirement Savings Plans • Pension • Global Share Ownership Plan • Paid Time Off

Identified from the job description. Confirm important requirements above.

• Azure Data Factory
• Azure Databricks
• ETL/ELT Pipelines
• Data Modeling
• Databricks Unity Catalog
• DevOps
• CI/CD
• Python
• SQL
• Java
• Scala
• Azure Synapse
• ADLS Gen2
• Agile Scrum
• Data Governance
• Performance Tuning
• Scalability Design
• Workplace Inclusivity
• Pipelines
• Time Off Management
• Data Lineage
• Technology Ecosystems
• Information Gathering
• Programming Languages
• Java (Programming Language)
• Agile Methodology
• Artificial Intelligence
• Auditing
• Automation
• Microsoft Azure
• Mental Health
• Big Data
• IT Capacity Management
• Customer Service
• Cloud Computing
• Communication
• Data Processing
• Continuous Improvement Process
• Data Architecture
• Data Dictionary
• Data Discovery
• Data Engineering
• Data Infrastructure
• Data Integration
• Extract Transform Load (ETL)
• Data Quality
• Data Security
• Data Warehousing
• Relational Databases
• Financial Education

• Data & Analytics
• Technology
• Engineering
• Software
• Finance & Accounting
• Data Engineer
• Software Developers
• Database Administrators

Minimum experience

5+ years

Apply by

Aug 29, 2026

Posting language

English

Working hours

40 hours per week