Data Platform Engineer

Argyll Scott; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Global Life Insurer in Hong Kong is seeking a Data Platform Engineer to build and operate data and AI-ready environments. You will work across cloud infrastructure, automation, and reliability to create reusable services and self-service capabilities for diverse regional teams.

The role focuses on scalable platform services, secure controls, and enabling efficient delivery across markets, with experience in data infrastructure and cloud automation highly valued.

Qualifications

• Experience building and operating enterprise data infrastructure.
• Hands-on cloud platform and infrastructure automation capability.
• Knowledge of deployment pipelines and monitoring practices.

Responsibilities

• Engineer and operate data flows within AWS-based lakehouse platforms.
• Automate infrastructure and environment provisioning.
• Support platform access management and deployment pipelines.
• Establish monitoring and reliability engineering practices.
• Develop reusable platform services and self-service patterns including generative AI-enabled BI.
• Manage availability, performance and cost as workload requirements evolve.

Skills

AWS

Data platform

Automation

Reliability

Tools

Terraform

CI/CD Pipelines

Job description

Data Platform Engineer

Regional AI Centre of Excellence | Global Life Insurer

Location: Hong Kong; candidates based in the Philippines or India may also be considered
Experience: 5–10+ years of relevant experience

The opportunity

We are partnered with a global life insurer to strengthen the shared data infrastructure supporting its regional AI Centre of Excellence and Asian businesses. As AI use cases develop across markets, scalable platform services will be essential to enabling secure, repeatable delivery.

As a Data Platform Engineer, you will build and operate the environments on which data and AI teams depend. Working across cloud infrastructure, automation and reliability, you will create reusable services and self-service capabilities that help teams move efficiently while maintaining enterprise controls.

What you will do

• Engineer and operate data flows within AWS-based lakehouse platforms.
• Automate infrastructure and environment provisioning.
• Support platform access management and deployment pipelines.
• Establish monitoring and reliability engineering practices.
• Develop reusable platform services and self-service patterns, including generative AI-enabled business intelligence.
• Manage availability, performance and cost as workload requirements evolve.

What you will bring

• Experience building and operating secure enterprise data infrastructure.
• Hands-on cloud platform and infrastructure automation capability.
• Knowledge of deployment pipelines, monitoring and reliability practices.
• Experience implementing access and operational controls.
• Ability to balance platform usability with security and operational requirements.

Preferred:

Experience supporting data and AI workloads across multiple teams or markets.

Why this role

Your work will enable delivery across a wider regional AI ecosystem, giving you scope to shape shared platform capabilities and solve infrastructure challenges that extend beyond a single application.