Data Engineer

Manulife; Quezon City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Manulife in Manila seeks a hands-on Data Engineer to design, build, and operate enterprise‑scale data pipelines and platforms in a collaborative global environment. You’ll work with Azure Data Factory, Databricks, Synapse, Spark, Python, and SQL to ingest, transform, and quality‑check data, while supporting the Enterprise Data Lake and production services.

Excellent written and spoken English is mandatory as you partner with business and technology teams in Canada and across Asia, participate in

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 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.

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.

Skills

Azure Data Factory

Spark / PySpark

Python

SQL

Data Integration

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems

Tools

Databricks

Cosmos DB

Azure SQL

Event Hubs

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:
• 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.