AI
AiaData Engineering, Specialist
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Before you apply
LocationHo Chi Minh City, VN-AIA Vietnam
SeniorityMid
DepartmentCustomer and Information Technology
Company size10,000+ people
PostedOct 5, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Design, develop, and maintain scalable data pipelines
Build and optimize scalable data models, data warehouses, and data marts
Ensure data accuracy and integrity through quality controls
Adhere to data governance, security, privacy, and regulatory requirements
Troubleshoot data issues and provide timely resolution
Collaborate with business and technology stakeholders
Skills
Data Pipeline
ETL
ELT
Data Warehouse
Data Modeling
Data Mart
Innovate and shape what comes next.
At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real-world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities.
Join us to create what comes next, grow through new experiences and extend your impact across Asia.
About the Role
Report to: Manager, Data Engineer
Location: Ho Chi Minh
Function: Customer and Information Technology
Type: Individual contributor
THE OPPORTUNITY:
We are looking for a highly driven Data Engineering, Specialist to:
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Design, develop, and maintain scalable data pipelines, integration solutions, and data platforms that enable reliable, timely, and trusted data for business reporting, analytics, and decision-making.
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Support the organization’s data strategy by ensuring the efficient ingestion, transformation, storage, and accessibility of enterprise data within the Data Warehouse and data ecosystem.
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Collaborate with business and technology stakeholders to deliver high-quality data solutions that support operational excellence, regulatory compliance, and advanced analytics initiatives.
Roles and Responsibilities:
Data Engineering & Integration
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Design, develop, and maintain robust data pipelines, ETL/ELT processes, and data integration solutions across multiple source systems.
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Build and optimize scalable data models, data warehouses, and data marts to support reporting and analytical requirements.
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Ensure data is processed, transformed, and delivered efficiently while meeting performance and availability requirements.
Data Quality & Governance
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Implement data quality controls, validation rules, monitoring mechanisms, and reconciliation processes to ensure data accuracy and integrity.
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Adhere to enterprise data governance, security, privacy, and regulatory requirements in managing data assets.
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Support data lineage, metadata management, and documentation standards across the data lifecycle.
Solution Delivery & Stakeholder Management
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Partner with business users, data analysts, data scientists, architects, and application teams to understand data requirements and deliver fit-for-purpose solutions.
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Participate in project delivery activities, including solution design, development, testing, deployment, and production support.
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Troubleshoot data issues and provide timely resolution to minimize business disruption.
Continuous Improvement & Innovation
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Monitor and optimize data pipeline performance, scalability, and reliability.
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Identify opportunities to automate manual processes and improve operational efficiency.
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Stay current with emerging data engineering technologies, industry trends, and best practices, recommending improvements where appropriate.
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Maintain comprehensive technical documentation and knowledge-sharing materials.
Job Requirements