Hong Kong
Live, first seen by us 78 days agoWorking Arrangement HybridRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop and maintain ETL/ELT pipelines in Azure Data Factory and Databricks
Develop and maintain data models, schemas and data dictionaries
Integrate data from multiple sources, ensuring quality and consistency
Apply data governance policies for security, privacy and compliance
Work with data scientists, analysts and business teams on data requirements
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
Integrate data from various sources, ensuring data quality and consistency
Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
Collaborate with other data professionals, including data scientists, analysts, and business team members
6 or more years of relevant industry experience as Data Engineer
Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
Good knowledge of data warehousing concepts and relational data modeling
Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
Excellent communication and interpersonal skills
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
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Day 78
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Manulife Financial’s usual: its jobs 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.
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• Good knowledge of data warehousing concepts and relational data modeling • Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R) • Excellent communication and interpersonal skills
• Experience in automating data pipelines and familiarity with DevOps and CICD pipelines • Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem. • Good knowledge of data warehousing concepts and relational data modeling
Position Responsibilities: • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services • Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
• 6 or more years of relevant industry experience as Data Engineer • Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks. • Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
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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.
The Opportunity As a Senior Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
Asia Group Functions Senior Data Engineer
Position Responsibilities:
• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
• Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
• Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
• Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
• Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.
• Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
• Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
Required Qualifications:
• 6 or more years of relevant industry experience as Data Engineer
• Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
• Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
• Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
• Good knowledge of data warehousing concepts and relational data modeling
• Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
• Excellent communication and interpersonal skills
• Excellent analytical, problem solving and solutioning skills
• A capacity for constant learning from both success and failure, remaining open to change and continuous improvement
• Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural
• Experience in Data processing, performance analysis, tuning and capacity planning
• Familiarity with production release and operational support model
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 hr@manulife.com.
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Hong Kong
Working Arrangement Hybrid
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