Senior Data Engineer

Job Overview

As a Senior Data Engineer at Manulife, you will play a critical role in the development and maintenance of the company's data systems and architecture. You will collaborate with other highly skilled data engineers, data architects, and governance teams 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 role is essential for driving efficiency and innovation within our organization and for delivering high-quality products and platform services.

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 quality and consistency, and prepare it for analytical and operational use.
• Follow data governance policies and processes to ensure data security, privacy, and compliance.
• Collaborate with data scientists, analysts, and business team members to understand data requirements and develop solutions.
• Stay up to date with the latest tools and technologies and identify opportunities to enhance Manulife’s data infrastructure.

Qualifications

• 5+ years of relevant industry experience as a Data Engineer.
• Experience building and operationalizing data pipelines in cloud Microsoft Azure using Azure Data Factory, Azure Databricks, and related services.
• Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines.
• Good working knowledge of MS Azure services (SQL queries, ADLS Gen2, ADF, Databricks, Synapse, SQL Server).
• Knowledge of data warehousing concepts and relational data modeling.
• Familiarity with programming in both compiled languages (Java, Scala) and scripting languages (Python, SQL, R).
• Understanding of Agile Scrum methodologies and experience working in an Agile team.

Preferred Qualifications

• Excellent communication and interpersonal skills.
• Analytical, problem‑solving, and solutioning skills.
• Capacity for constant learning and continuous improvement.
• Familiarity with production release and operational support models.

Work Arrangement

Hybrid (3 days onsite per week) and night shift schedule with flexibility for mid‑shift as needed.

Equal Opportunity Employer

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, 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.