Quezon City
Actively hiring, first seen by us 8 days agoWorking Arrangement HybridRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop and support data pipelines and integrations across source systems
Build ETL/ELT solutions with Azure Data Factory, Databricks, Synapse, Spark, Python and SQL
Monitor pipelines, troubleshoot incidents and optimize processing efficiency
Maintain the Enterprise Data Lake and support change requests
Run proof-of-concepts for new technologies and integration patterns
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.
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.
Conduct proof-of-concepts (POCs) for new technologies and integration patterns.
Communication Requirements
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.
· 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.
o Spark / PySpark o Python o SQL
o Python o SQL o Event Hubs
o 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.
· 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: o Azure Data Factory
· Strong hands-on experience with Azure Data Platform technologies, including: o Azure Data Factory o Azure Databricks
o Azure Data Factory o Azure Databricks o Azure Synapse Analytics
o Azure Databricks o Azure Synapse Analytics o Azure Data Lake Storage (ADLS)
o Azure Synapse Analytics o Azure Data Lake Storage (ADLS) o Spark / PySpark
o Azure Data Lake Storage (ADLS) o Spark / PySpark o Python
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 8
Similar jobs usually come down between day 6 and day 56.
At Manulife Financial, jobs usually come down by about day 27.
From 13,649 similar postings that came down, and 179 of Manulife Financial’s. Coming down is not always a hire.
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Yes. We’ve followed 3 other Data Engineer jobs there since May 2026. 2 came down, usually after about 10 days. One is still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
o Azure Data Factory
o Azure Databricks
o Azure Synapse Analytics
o Azure Data Lake Storage (ADLS)
o Spark / PySpark
o Python
o SQL
o 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 hr@manulife.com.
Working Arrangement
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Quezon City
Working Arrangement Hybrid
This passage needs a closer read in the full description.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting