Global Azure Data Platform Engineer - ETL & Pipelines

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

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