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Urgent! Manager, Data Engineer, Data Transformation Job Opening In Hong Kong, Hong Kong – Now Hiring Prudential plc
Prudential’s purpose is to be partners for every life and protectors for every future.
Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners.
We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions.
We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Job Responsibilities
Design, build, and maintain scalable and efficient ETL/ELT pipelines in Azure Databricks to process structured, semi-structured, and unstructured insurance data from multiple internal and external sources.
Collaborate with data architects, modellers, analysts, and business stakeholders to gather data requirements and deliver fit-for-purpose data assets that support analytics, regulatory, and operational needs.
Develop, test, and optimize data transformation routines, batch and streaming solutions (leveraging tools such as Azure Data Factory, Data Lake Storage Gen2, Azure Event Hubs, and Kafka) to ensure timely and accurate data delivery.
Implement rigorous data quality, validation, and cleansing procedures—with a focus on enhancing reliability for high-stakes insurance use cases, reporting, and regulatory outputs.
Integrate Informatica tools to facilitate data governance, including the capture of data lineage, metadata, and data cataloguing as required by regulatory and business frameworks.
Ensure robust data security by following best practices for RBAC, managed identities, encryption, and compliance with Hong Kong's PDPO, GDPR, and other relevant regulatory requirements.
Automate and maintain deployment pipelines using GitHub Actions to ensure efficient, repeatable, and auditable data workflows and code releases.
Conduct root cause analysis, troubleshoot pipeline failures, and proactively identify and resolve data quality or performance issues.
Produce and maintain comprehensive technical documentation for pipelines, transformation rules, and operational procedures to ensure transparency, reuse, and compliance.
Apply subject matter expertise in Hong Kong Life and General Insurance to ensure that development captures local business needs and industry-specific standards.
Job Requirements
Bachelor's degree in Information Technology, Computer Science, Data Engineering, or a related discipline.
6+ years of experience as a data engineer, building and maintaining ETL/ELT processes and data pipelines on Azure Databricks (using PySpark or Scala), with a focus on structured, semi-structured, and unstructured insurance data.
Strong experience orchestrating data ingestion, transformation, and loading workflows using Azure Data Factory and Azure Data Lake Storage Gen2.
Advanced proficiency in Python and Spark for data engineering, data cleaning, transformation, and feature engineering in Databricks for analytics and machine learning.
Experience integrating batch and streaming data sources via Kafka or Azure Event Hubs for real-time or near-real-time insurance applications.
Hands-on use of Informatica for data quality, lineage, and governance to support business and regulatory standards in insurance.
Familiarity with automation and CI/CD of Databricks workflows using GitHub Actions.
Understanding of data security, RBAC, Key Vault, encryption, and best practices for compliance in the insurance sector.
Experience optimizing data pipelines to support ML workflows and BI/reporting tools.
Excellent command of English and Chinese – both written and spoken.
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Unlock Your Manager Data Potential: Insight & Career Growth Guide
Real-time Manager Data Jobs Trends in Hong Kong, Hong Kong (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Manager Data in Hong Kong, Hong Kong using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3076 jobs in Hong Kong and 2485 jobs in Hong Kong. This comprehensive analysis highlights market share and opportunities for professionals in Manager Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Prudential plc is currently hiring and seeking a Manager, Data Engineer, Data Transformation to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Prudential plc adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Manager, Data Engineer, Data Transformation Jobs Hong Kong varies, but the pay scale is rated "Standard" in Hong Kong. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Manager, Data Engineer, Data Transformation typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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