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About the Role

The Data Engineering Lead is a hands-on technical expert responsible for building scalable data platforms, data pipelines, automated tools, and reusable data products to enhance the organization’s Data & AI capabilities. This role collaborates with Sales, Marketing, Product, and other business stakeholders to translate opportunities into data solutions that drive measurable business impact and growth.

Responsibilities

• Build scalable data platforms, products, and automation.
• Design and build scalable data pipelines, automated data tools, and reusable data products on modern cloud platforms such as Azure Databricks.
• Automate, modernize, and improve data pipelines and engineering processes.
• Deliver projects across data ingestion, engineering, visualization, and decision-making.
• Own the data domain and strengthen engineering quality.
• Serve as a data-domain subject matter expert and trusted technical advisor.
• Build a strong understanding of systems and the data environment by researching, exploring, and testing new data architecture, design ideas, and technologies.
• Collaborate with internal and external experts to improve data quality, platform reliability, access, and usability.
• Use technical documentation to develop a holistic understanding of the data domain.
• Enable analytics through strong data foundations and business context.
• Work with data scientists to turn business requests into high-value data products and capabilities.
• Partner with business teams and data scientists to build, improve, and deliver trusted, analysis-ready data.
• Help develop conceptual/logical data models, curated data layers, or semantic layers with clear business context.
• Partner with the business (Sales/Marketing/Product) and communicate clearly.
• Work with Sales, Marketing, Product, and other teams to understand needs and identify where data and analytics can support growth.
• Turn business insights into clear technical requirements focused on measurable impact.
• Explain technical ideas in plain language and confidently present solutions to non-technical audiences.
• Act as a connector between technical and business teams to keep goals, requirements, and delivery aligned.
• Grow data and analytics capability across the organization.
• Help business partners understand and use data and automation effectively.
• Identify and develop “data champions” to increase profitable use of data.
• Learn key business concepts from partners and enable creative, effective use of data technologies.

Requirements

• Bachelor’s degree (or higher) in computer science or quantitative field (e.g., Mathematics, Physics, Engineering).
• Advanced experience with databases, data architecture, and modern data engineering practices.
• Strong programming skills in Python, SQL, Spark.
• Experience building automated data pipelines, orchestration workflows, and data transformation solutions, ideally in Azure Databricks or similar cloud data platforms.
• Experience with cloud data technologies—especially Azure, including Azure Databricks—and Data as a Service (DaaS).
• Experience delivering analysis that supports management decisions; solid understanding of analytics theory and application.
• Experience with analytics and visualization tools (e.g. PowerBI) is a plus.
• Ability to collaborate with Sales, Marketing, and other customer-facing stakeholders.
• Be able to capture business pain points, showcase prototypes and iterate on solutions.
• Strong communication and storytelling skills; able to simplify complex concepts.
• Comfortable facilitating sessions, presenting to groups, and engaging partners.
• Consultative mindset with the ability to link technical work to business outcomes.

Skills

• Python
• SQL
• Spark
• Azure Databricks
• Azure
• Data as a Service (DaaS)
• PowerBI

Location

• Toronto, Ontario

Work Type

• Hybrid

Experience Level

• Advanced experience with databases, data architecture, and modern data engineering practices
• Experience building automated data pipelines, orchestration workflows, and data transformation solutions
• Experience with cloud data technologies
• Experience delivering analysis that supports management decisions
• Experience with analytics and visualization tools

Education Level

• Bachelor’s degree (or higher) in computer science or quantitative field (e.g., Mathematics, Physics, Engineering)

Salary/Compensations

• $113,260.00 CAD - $210,340.00 CAD

Benefits

• Opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
• Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage.
• Adoption/surrogacy and wellness benefits.
• Employee/family assistance plans.
• Retirement savings plans (including pension and a global share ownership plan with employer matching contributions).
• Financial education and counseling resources.
• Generous paid time off program in Canada includes holidays, vacation, personal, and sick days.
• Full range of statutory leaves of absence.

About the Company

• Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
• 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.

Equal Opportunity

• 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.