Senior Data Engineer

Looking for a Senior Data Engineer to join the Canada Data Office here at Manulife!

Senior engineer will enable the building, maintenance, enhancements, and support of new and existing Azure data pipelines for various analytical use cases inclusive of AI/ML/BI/GEN AI and reporting. You will partner with collaborators in understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife’s IT security and risk guidelines.

• Develop data understanding with partners; prioritize building interconnected datasets for user access.
• Value quality on ensuring our Azure applications in prod run within SLA and ensure their robustness and security.
• Propose technology improvements or come up with innovative solutions to solve business problems.
• Collaborate with the Architecture team, as well as experts in security and risk management, to implement the most up-to-date guidelines and Azure standard methodologies.
• Lead, mentor and guide data engineers to promote customer first approach.
• Automate infrastructure provisioning and deployment using tools such as terraform.
• Implement CI/CD pipelines that enables automated code deployment.
• Participate in Agile sprints and ceremonies; supports rapid iteration and development.
• Take lead in maintaining the inventory of critical data elements and lineage.
• Cultivate and maintain strong relationships and foster collaboration with various teams and partners within the organization.

• Bachelor’s in computer/IT or data related fields required. Master’s degree is a plus.
• 6+ years of previous data engineering experience, with 3+ years of experience working in enabling azure related data technologies.
• Solid understanding of Azure infrastructure; subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management and data protection.
• Strong hands‑on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T‑SQL along with experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
• High proficiency in GIT/Jenkins/dev‑ops processes to maintain and resolve issues with data pipelines in prod.
• Knowledge of implementing azure technologies and networking via terraform along with ability to fix issues with Azure infrastructure in prod.
• Proficient in data modeling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
• Solid understanding of data privacy and compliance regulations and standard methodologies for preserving customer data.

• 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.

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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 other ground protected by applicable law.

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