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Senior Data Engineer at insurer Manulife/John Hancock in Hong Kong who designs, builds, and maintains scalable data pipelines and data architecture on Azure cloud services, partnering with data scientists and analysts to deliver high-quality, well-governed data for analytics and operations.
A 4-month winter 2027 data engineering co-op at Manulife/John Hancock in Toronto (hybrid, in-office Tue–Thu). The student supports building and maintaining scalable data pipelines and workflows — ingestion, transformation, and preparation for reporting/analytics — using SQL, a language like Python or Java, Git, and modern data tools such as Spark and Databricks.
A 4-month winter 2027 co-op for undergraduate students to work as data engineers at Manulife/John Hancock in Waterloo, Ontario (hybrid, in-office Tue-Thu). Day to day involves building and maintaining data pipelines and workflows using SQL, Python or Java, with exposure to tools like Spark, Databricks and cloud platforms.
A Summer 2027 data engineering internship at Manulife/John Hancock in Toronto (hybrid, Tue–Thu in office). The intern helps build and maintain scalable data pipelines and workflows for reporting and analytics, working with SQL, Python/Java, Git, and gaining exposure to tools like Spark, Databricks, and cloud platforms.
Builds and modernizes enterprise data pipelines and analytics platforms on Azure (Databricks, Data Factory, Data Lake, Azure SQL) for Manulife's Global Technology team, and provides Level 2/3 production support for data platforms, investigating incidents and data quality issues. Hybrid role, 3 days onsite in Quezon City.
Manulife/John Hancock in Indonesia is hiring an analytics engineer to build actuarial data-processing tools for experience monitoring and studies, migrating models and reports off Excel onto Power BI, Python, SQL, and other scalable platforms. Strong Excel skills plus Power BI/SQL/Python/Tableau familiarity and an analytical mindset are the core skills.
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