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AIA Group

Pan-Asian life insurance provider

Data Engineering - Specialist

Data EngineeringUpdated on Nov 9
Full-timeHo Chi Minh City, VietnamNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a relevant field.
  • Three to five years of experience as a Data Engineer or similar role in the life insurance industry or another relevant financial services sector.
  • Experience with data warehouses, Databricks, and Spark.
  • Experience with Power BI.
  • Expert-level SQL skills, including SQL Server and Databricks SQL.
  • Experience programming in Python and Spark.
  • Experience with Git source control.
  • Experience building data models, especially in the insurance domain.
  • Hands-on experience working on data projects with a complete continuous integration and continuous delivery system.
  • Experience with Azure Data Factory and Airflow.
  • Ability to influence technical and business peers and stakeholders.
  • Ability to lead by example and provide hands-on support to the team when required.
  • Demonstrated problem-solving skills and a results-oriented mindset.

Responsibilities

  • Design, develop, and maintain scalable data pipelines, integration solutions, and data platforms that provide reliable, timely, and trusted data for business reporting, analytics, and decision-making.
  • Support the organization's data strategy by ensuring efficient ingestion, transformation, storage, and accessibility of enterprise data within the data warehouse and data ecosystem.
  • Collaborate with business and technology stakeholders to deliver data solutions supporting operational excellence, regulatory compliance, and advanced analytics initiatives.
  • Design, develop, and maintain data pipelines, ETL/ELT processes, and data integration solutions across multiple source systems.
  • Build and optimize scalable data models, data warehouses, and data marts for reporting and analytical requirements.
  • Ensure data is processed, transformed, and delivered efficiently while meeting performance and availability requirements.
  • Implement data quality controls, validation rules, monitoring mechanisms, and reconciliation processes to ensure data accuracy and integrity.
  • Follow enterprise data governance, security, privacy, and regulatory requirements when managing data assets.
  • Support data lineage, metadata management, and documentation standards across the data lifecycle.
  • Partner with business users, data analysts, data scientists, architects, and application teams to understand data requirements and deliver fit-for-purpose solutions.
  • Participate in solution design, development, testing, deployment, and production support activities.
  • Troubleshoot data issues and resolve them promptly to minimize business disruption.
  • Monitor and optimize data pipeline performance, scalability, and reliability.
  • Identify opportunities to automate manual processes and improve operational efficiency.
  • Stay current with emerging data engineering technologies, industry trends, and best practices, and recommend improvements where appropriate.
  • Maintain technical documentation and knowledge-sharing materials.

About the Company

AIA Group

Pan-Asian life insurance provider

AIA Group provides life insurance and related financial protection across Asia. It sells life insurance, protection, and long-term savings products to individuals and groups, paying benefits and claims when needed. It differentiates itself with a pan-Asian footprint across 18 markets, long-standing customer and agent relationships, and a strong focus on environmental, social, and governance practices. Its goal is to be a leader in ESG while helping millions live Healthier, Longer, Better Lives and creating long-term value for stakeholders.

Company size
10,001+
Company stage
Not listed
Total funding
$618.7M
Headquarters
Central and Western District, Hong Kong
Founded
Not listed

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