Full Stack Data Engineer; Analytics + ETL + Reporting

Overview

Manulife / John Hancock is seeking a highly skilled Full‑Stack Data Engineer (Analytics + ETL + Reporting) with expertise in turning curated data into actionable insights, automated feeds, and enterprise‑grade reports with hands-on experience on Informatica/ADF, data warehousing and data model design to join our Insurance Licensing & Compensation engineering team. The successful candidate will design, develop, enhance, and turning curated data into actionable insights, automated feeds, and enterprise‑grade reports.

As a Full‑Stack Data Engineer – Reporting, Extracts & Feeds, you will work downstream of our established Gold Layer, transforming business‑ready data into reports, extracts, and secure feeds consumed across Finance, Distribution, Operations, and other enterprise functions.

Work Arrangement:
Hybrid from nearest office (3 days in Office, 2 days from Home);
Remote working arrangement is not available.

Position Responsibilities:

• Build automated data extracts and feeds from curated Gold Layer models.
• Develop formatted operational and regulatory reports (Power BI, Tableau, SAC, SSRS, Crystal Reports).
• Design and maintain ETL/ELT pipelines using ADF, Informatica or similar tools.
• Create reliable outbound data delivery via SFTP, APIs, or managed file transfer platforms.
• Implement data validation, reconciliation checks, and robust quality controls.
• Maintain clear lineage from Gold Layer to downstream outputs with audit readiness.
• Optimize extraction logic for performance and scalability.
• Build and manage scheduling, monitoring, and alerting for production pipelines.
• Work closely with Finance, Actuarial, Operations, and business partners to gather and translate reporting needs.
• Document feeds, mappings, data definitions, and technical specifications.

• Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience)
• 4+ years’ experience in data engineering, BI engineering, or analytics engineering.
• Advanced SQL skills and strong understanding of 3NF and analytic modeling.
• Hands‑on experience with ETL/ELT platforms (Informatica, ADF or similar).
• Practical experience building formatted reports (Power BI/Tableau/SAC/SSRS/Crystal Reports).
• Ability to generate and automate file‑based outputs (CSV, TSV, XML, JSON etc.).
• Experience delivering feeds via SFTP, MFT, or API frameworks.
• Strong data quality, validation, and reconciliation skills.
• Good understanding of data warehousing and data model design
• Familiarity with scheduling/orchestration tools (ADF, Airflow, Control‑M, Autosys).
• Strong communication skills and ability to work cross‑functionally with business teams.

• Exposure to cloud platforms (Azure preferred).
• Experience with Git, CI/CD pipelines, and Dev Ops practices.
• Familiarity with API gateways, REST APIs, and event‑driven patterns (Kafka/Event Hub).
• Understanding of metadata management and data governance frameworks.
• Background in insurance, or financial systems would be an asset.

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. The role being advertised is an existing vacancy. 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  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…