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Manulife Financial

Global financial services: insurance and investments

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeQuezon City, Metro Manila, PhilippinesNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline is required.
  • Five to seven years of experience in Data Engineering, Software Engineering, Platform Engineering, or related technical roles is required.
  • Strong hands-on experience with Azure Data Platform technologies, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Spark/PySpark, Python, SQL, and Event Hubs is required.
  • Experience with database development and management, such as Azure SQL or Cosmos DB, is required.
  • Experience building and supporting cloud-based data solutions and enterprise data platforms is required.
  • Experience with Change Data Capture (CDC) technologies, such as Debezium, and data integration solutions is required.
  • Strong analytical, troubleshooting, and problem-solving skills are required.
  • Experience working in Agile delivery teams is required.
  • Excellent written and spoken English is mandatory.
  • Ability to communicate effectively with stakeholders in Canada and across Asia is required.
  • Strong collaboration and stakeholder management skills are required.
  • Ability to work comfortably in a global, multicultural, and distributed team environment is required.

Responsibilities

  • Design, develop, and support data pipelines and integrations across multiple source systems.
  • Build ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, Spark, Python, and SQL.
  • Develop and maintain data ingestion, transformation, and data quality processes.
  • Conduct proof-of-concepts (POCs) for new technologies and integration patterns.
  • Monitor data pipelines and platform performance, troubleshoot issues, and optimize processing efficiency.
  • Maintain and support the Enterprise Data Lake (EDL) to ensure platform stability and reliability.
  • Investigate and resolve production incidents and support change requests.
  • Develop and maintain technical documentation and operational support materials.
  • Perform unit testing, system integration testing, and deployment validation.
  • Collaborate with business, technology, and data teams across Asia and Canada.
  • Support the design and delivery of business-aligned data products, ensuring datasets are reusable, well-defined, and fit for analytics and reporting needs.
  • Participate in Agile delivery ceremonies and support end-to-end project delivery.

Desired Qualifications

  • Experience in financial services, wealth management, insurance, or asset management industries.
  • Knowledge of data governance, metadata management, and data quality practices.
  • Understanding of data product concepts, including data domains, reusable data assets, data ownership, data contracts, and business-facing data consumption.
  • Experience with AI, Business Intelligence (BI), and/or Generative AI solutions.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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