Data Engineer

Manulife; Quezon; Híbrido; PHP 900 000 - 1 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Global collaboration

Resumo da oferta

Manulife is seeking a hands-on Data/Platform Engineer to design and maintain enterprise-scale data pipelines in a cloud environment. You will build ETL/ELT solutions using Azure Data Factory, Databricks, Synapse, and related technologies, while ensuring data quality and governance.

The role collaborates with teams across Asia and Canada, requiring strong English communication. Responsibilities include incident resolution, documentation, and contributing to Agile delivery ceremonies.

Qualificações

• Bachelor’s degree in a related field.
• 5–7 years of experience in Data/Software/Platform Engineering.
• Hands-on with Azure Data Platform technologies.
• Experience with data pipelines, ETL/ELT, and data integration.
• Experience with Agile delivery teams.

Responsabilidades

• 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.

Conhecimentos

Data engineering

Cloud data platforms

Agile delivery

Stakeholder collaboration

Formação académica

Bachelor’s degree in Computer Science/Engineering/IS

Ferramentas

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage

Spark/PySpark

Python

SQL

Event Hubs

Debezium (CDC)

Cosmos DB

Azure SQL

Descrição da oferta de emprego

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.

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 Arrangement

Hybrid