Hybrid Data Engineer - Azure Data Pipelines & Analytics

Manulife/John Hancock; Quezon City; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Manulife/John Hancock is seeking an experienced Data Engineer to design, build, and support data pipelines across multi-source systems. You will implement ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, Spark, Python, and SQL while maintaining data quality in the Enterprise Data Lake.

You’ll collaborate with global teams in Asia and Canada and participate in agile ceremonies. You will also conduct POCs for new technologies, optimize performance, and document operational

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline.
• 5–7 years in Data/Software/Platform Engineering or related roles.
• Strong hands-on experience with Azure Data Platform technologies including ADF, Databricks, Synapse, ADLS, Spark/PySpark, Python, SQL, Event Hubs.
• Experience with Azure SQL, Cosmos DB.
• Experience building and supporting cloud-based data solutions and enterprise data platforms.
• Experience with Change Data Capture (CDC) technologies (Debezium) and data integration.

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 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.

Skills

5–7 years experience in Data/Software/

Azure Data Platform technologies

Agile delivery teams

Analytical and troubleshooting

Cloud data solutions

Data pipelines

Data quality

Education

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

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage (ADLS)

Spark

Python

SQL

Event Hubs

Cosmos DB

Debezium (CDC)

Job description

Manulife/John Hancock is seeking an experienced Data Engineer to design, build, and support data pipelines across multi-source systems. You will implement ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, Spark, Python, and SQL while maintaining data quality in the Enterprise Data Lake.

You’ll collaborate with global teams in Asia and Canada and participate in agile ceremonies. You will also conduct POCs for new technologies, optimize performance, and document operational