Data Engineer

Posted 6 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
113K-163K Annually
Expert/Leader
Fintech • Insurance • Financial Services
The Role
The Data Engineer will design and implement scalable data infrastructure, ensuring data quality, and developing data pipelines while collaborating with business for analytics solutions.
Summary Generated by Built In

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.

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

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 [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.

Skills Required

  • Bachelor's or master's degree in computer science or a related technical field
  • 10+ years of experience in data engineering within enterprise environments
  • 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)
  • 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

Manulife Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.

  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
  • Retirement Support Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
  • Flexible Benefits Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.

Manulife Insights

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The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

What We Do

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms

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