Data Engineer

Manulife; Quezon City; On-site; PHP 4,414,000 - 6,936,000; Full time

Job summary

Manulife is seeking a hands-on data engineer to design, build, and operate enterprise-scale data platforms in a collaborative global environment.

You will work with teams in Asia and Canada, implementing Azure-based data solutions, ensuring data quality, and enabling analytics-ready datasets. Expect active participation in Agile ceremonies and delivery of scalable data products across the enterprise.

Qualifications

• Bachelor’s degree in CS/Engineering/IS or related field.
• 5–7 years in Data/Software/Platform engineering roles.
• Hands-on Azure Data Platform experience (ADF, Databricks, Synapse, ADLS, Spark).
• Proficient in Python and SQL; Spark/PySpark knowledge.
• Strong English communication and cross-region collaboration.

Responsibilities

• Design, develop, and support data pipelines 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 PoCs for new technologies and integration patterns.
• Monitor pipelines and platform performance; troubleshoot and optimize.
• Maintain and support the Enterprise Data Lake for stability and reliability.
• Investigate production incidents and support change requests.
• Develop 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 design and delivery of data products; ensure datasets are reusable and well-defined.
• Participate in Agile delivery ceremonies and end-to-end project delivery.

Skills

Data engineering

Cloud data platforms

Azure

SQL

Python

Agile

English communication

Education

Bachelor’s degree in CS/Engineering/IS

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage

Spark / PySpark

Python

SQL

Event Hubs

Cosmos DB

Debezium

Job description

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.

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.

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 [e-mail] .

Inclusion We believe that embracing inclusion is the key to creating a stronger, more resilient organization. It's not just a value - it's a strategic advantage that sets us apart.