Data Engineer

What distinguishes this opportunity? At John Hancock Manulife, we are devoted to nurturing an environment where your skills and ambitions can prosper. As a Data Engineer, you will have a key role in constructing and managing our data systems and architecture. This versatile role, situated in Boston, MA, delivers an optimum mix of hybrid flexibility and collaborative in-person interactions, empowering you to succeed personally and professionally.

This role is located in Boston and has a Hybrid Model of 3 days in the office.

As a Data Engineer at John Hancock Manulife, you would play a meaningful role in 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.

• Build, develop, and maintain scalable ETL/ELT pipelines.
• Develop and uphold the company's data architecture, including data models, schemas, and data dictionaries.
• Integrate data from diverse sources, ensuring quality and consistency, and prepare it for analytical and operational uses.
• Adhere to data governance policies and processes to safeguard data security, privacy, and compliance.
• Collaborate with data professionals, including data scientists, analysts, and business team members, to comprehend data requirements and devise solutions to meet those needs.
• Stay informed about the latest tools and technologies, finding opportunities to improve Manulife's data infrastructure.
• Illustrate the aptitude to learn and apply established methods in data engineering and cloud computing to ensure scalable, efficient, and effective solutions.

• 2+ years of background as a Data Engineer.
• Demonstrable experience in building and operationalizing data pipelines.
• Hands-on experience with programming languages like Python and SQL.
• Solid grasp of data warehousing concepts and relational data modeling.
• Strong working knowledge of SQL queries, Databricks, Synapse, and SQL Server.

• Familiar with Dev Ops and CI/CD pipelines in the automation of ETL workloads.
• Familiar with cloud platforms such as Azure and AWS, along with related technologies.
• Superb communication and interpersonal skills.
• Strong analytical, problem-solving, and abilities.
• Proficiency in data processing, performance analysis, tuning, and resource optimization.
• Understanding of Agile Scrum methodologies and experience working in an Agile team, including familiarity with collaboration tools such as Teams and JIRA.
• A dedication to continuous learning from both successes and failures, with an openness to change and improvement.
• Familiar with production release and operational support models.

• 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.

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

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…