Data Engineer

Manulife John Hancock; Quezon City; In loco; PHP 3.785.000 - 5.363.000; Tempo pieno

Descrizione del lavoro

Manulife John Hancock seeks a Data Engineer to join the GWAM Asia Data Project. You will design and implement enterprise-scale data pipelines, leveraging Azure Data Factory, Databricks, and Synapse, to deliver reliable, scalable analytics-ready data assets across Asia and Canada.

You will work with global stakeholders in a fast-paced, cloud-first environment, ensuring data quality, governance, and timely delivery of analytics products.

Competenze

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
• 5-7 years of experience in Data Engineering or related roles.
• Hands-on experience with Azure Data Platform technologies (Data Factory, Databricks, Synapse, ADLS).
• Experience with Spark/PySpark, Python, SQL, and Event Hubs.
• Experience with Azure SQL or Cosmos DB.
• Experience building cloud-based data solutions and enterprise data platforms.
• Experience with Change Data Capture (CDC) technologies like Debezium.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience working in Agile delivery teams.

Mansioni

• Design, develop, and support data pipelines across source systems.
• Build ETL/ELT solutions using Azure data stack.
• Develop and maintain data ingestion, transformation, and quality processes.
• Conduct POCs for new technologies and integration patterns.
• Monitor pipelines and optimize processing efficiency.
• Maintain Enterprise Data Lake for stability.
• Investigate production incidents and support change requests.
• Develop technical docs and operational materials.
• Perform unit and integration testing and deployment validation.
• Collaborate with cross-Asia-Canada teams.
• Support design and delivery of data products for analytics.
• Participate in Agile ceremonies and end-to-end delivery.

Conoscenze

Azure Data Factory

Azure Databricks

Azure Synapse

Azure Data Lake Storage

Spark

PySpark

Python

SQL

Event Hubs

Cosmos DB

CDC (Debezium)

Agile

Formazione

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

Descrizione del lavoro

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 [e-mail] .

Working Arrang