Senior Data Engineer

Are you a go-getter who has a passion in building next gen data solutions for business problems? Are you a big fan of simplification and automation? Manulife is seeking an awesome Data Engineer, to join our rapidly expanding IT Organization and assist us as we work to be a digital leader in our industries!

Position Responsibilities:

• Design, build, operate, and continuously improve scalable, secure, and highly reliable Microsoft Azure‑based enterprise data platforms.
• Own the end‑to‑end data pipeline lifecycle, covering ingestion, transformation, storage, consumption, and archival.
• Engineer and support batch and streaming data solutions, including near‑real‑time ingestion using Azure Event Hubs.
• Develop and optimize data models, transformation logic, and complex SQL assets to support analytics, reporting, and operational workloads.
• Ensure data quality, accuracy, and integrity through validation, reconciliation, and governance controls.
• Apply reliability engineering and observability practices, including monitoring, alerting, incident response, root‑cause analysis, and capacity planning.
• Support or develop data services and integrations using .NET and web technologies, where required.
• Effectively communicate complex technical concepts, design decisions, and operational status to both technical teams and business stakeholders.
• Implement DevOps and automation practices, including CI/CD pipelines, release management, and change control in regulated environments.
• Collaborate within Agile delivery teams and cross‑functional stakeholders, driving continuous improvement, operational excellence, and knowledge sharing.

Required Qualifications:

You will have the following skills and experience:

• Extensive experience developing and supporting enterprise data platforms, with a strong focus on reliability, stability, and performance.

• Hands‑on expertise in Microsoft Azure, supporting cloud‑based data workloads at scale.

• Strong background in Data Engineering, including:

  • Big Data platforms

  • ETL pipeline development and operational support

  • Data transformation and data modelling

• Advanced proficiency in SQL for development, data validation, troubleshooting, performance tuning, and operational analysis.

• Hands‑on experience with data streaming using Azure Event Hubs.

• Operational knowledge of Business Intelligence platforms, including Power BI, and supporting enterprise reporting workloads.

• Proven experience applying Reliability principles, including monitoring, alerting, incident response, and root‑cause analysis.

• Experience with Release and Change Management practices within regulated enterprise environments.

• Hands‑on experience using ServiceNow for incident, problem, and change management.

• Working knowledge of DevOps practices, including:

  • CI/CD pipelines

  • Automation and deployment support

  • Tools such as Azure DevOps, Jenkins/Wave, and GitHub

• Experience working in Agile / Scrum delivery models, with a strong operational and run‑the‑business mindset.

• Strong collaboration and communication skills, with the ability to engage technical teams and business stakeholders.

• Excellent communication and interpersonal skills

• Excellent analytics, problem solving and solutioning skills

• A capacity for constant learning from both success and failure, remaining open to change and continuous improvement.

Preferred Qualifications:

• You have broad knowledge in Relational DBMS, SQL including SQL Server, Teradata, and Oracle.

• You have experience developing or supporting data services using .NET and web technologies.

• You have working experience in SQL Programming, creating complex queries, tables, view, and procedures.

• You have practical knowledge in query optimization and performance tuning.

• You have experience in creating detailed technical documentation for data integration (ETL) programs and other deliverables.

• Exposure to and an understanding of Agile scrum methodologies and experience of working in an Agile team.

• Experience in Data processing, performance analysis, tuning, and capacity planning

• Hands‑on or operational experience with:

  • Azure Synapse Analytics for enterprise data warehousing

  • Azure Data Lake Storage Gen2 for large‑scale data storage

  • Azure Databricks or HDInsight for big data processing and analytics

• Familiarity with Power Platform components beyond Power BI (e.g., Power Automate) to support operational automation.

Basic understanding of following will be useful but not required:

• Exposure to and basic understanding of other business intelligence systems, dashboard reporting, and analytical reporting

• Exposure to and basic understanding of collaboration tools like Teams and JIRA

• Defining and tracking Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for data platforms.

• Enterprise cloud governance standards.

• Data security, access controls, and compliance considerations in cloud environments.

• Continuous improvement practices related to incident reduction and operational maturity.

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.

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].