Data Engineer

Manulife; Philippines; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Job summary

Manulife GWAM Asia Data Project seeks a hands-on Data Engineer to design, build, and operate enterprise-scale data pipelines across multiple source systems. You will use Azure Data Factory, Databricks, and Synapse to deliver robust data solutions, ensuring data quality and governance while collaborating with teams in Canada and across Asia.

The role emphasizes strong English communication, agile delivery, and familiarity with cloud data platforms.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 5-7 years of experience in Data/Software/Platform Engineering or similar.
• Hands-on experience with Azure Data Platform technologies (Azure Data Factory, Databricks, Synapse, ADLS).
• Experience with Spark/PySpark, Python, SQL, Event Hubs, and database services (Cosmos DB/Azure SQL).
• Experience with CDC and data integration in cloud environments.
• Strong analytical, troubleshooting, and Agile delivery experience.

Responsibilities

• Design, develop, and support data pipelines and integrations across multiple source systems.
• Build ETL/ELT solutions using Azure data tools and Spark/Python/SQL.
• Develop and maintain data ingestion, transformation, and data quality processes.
• Conduct proofs-of-concept for new technologies and patterns.
• Monitor pipelines and platform performance, troubleshoot issues, and optimize processing.
• Maintain the Enterprise Data Lake for stability and reliability.
• Collaborate with business, technology, and data teams across Asia and Canada.

Skills

Analytical & problem-solving

Agile delivery

Collaboration & communication

Education

Bachelor's degree (CS/Eng/IS or related)

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage

Spark / PySpark

Python

SQL

Event Hubs

Cosmos DB / Azure SQL

Job description

We are seeking a motivated Data Engineer to join the Global Wealth & Asset Management (GWAM) Asia Data Project. This role will work closely with GWAM stakeholders in Canada and regional teams across Asia to deliver reliable, scalable, and high-quality data solutions that support business and analytics initiatives.

This is an excellent opportunity for a hands-on engineer who enjoys working with modern cloud data technologies and building enterprise-scale data platforms in a collaborative global environment.

Excellent written and spoken English is required, as this role regularly collaborates with business and technology teams in Canada and across Asia.

Key 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.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
• 5-7 years of experience in Data Engineering, Software Engineering, Platform Engineering, or related technical roles.
• 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
• Event Hubs
• Experience with database development and management (e.g., Azure SQL, Cosmos DB).
• Experience building and supporting cloud-based data solutions and enterprise data platforms.
• Experience with Change Data Capture (CDC) technologies (e.g., Debezium) and data integration solutions.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience working in Agile delivery teams.

Preferred 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.

Communication Requirements

• Excellent written and spoken English is mandatory.
• Ability to communicate effectively with stakeholders in Canada and across Asia.
• Strong collaboration and stakeholder management skills.
• Comfortable working in a global, multicultural, and distributed team environment.

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 [HIDDEN TEXT].

Working Arrangement

Hybrid