Asia AI-Ready Data Engineer

Argyll Scott; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Argyll Scott is seeking an Asia AI-Ready Data Engineer in Hong Kong to support its Regional AI Centre of Excellence. You will work with regional data platform teams and AI squads to build data products for experimentation and production, leveraging AWS-hosted lakehouse and master data environments to connect insurance data with modern AI workflows.

You will ingest, transform, and govern data across structured and unstructured sources, ensuring data quality, lineage, and secure access while

Qualifications

• Proficient SQL and Python for data engineering tasks.
• Hands-on experience building data pipelines and integrating with AWS.
• Experience handling structured and unstructured data for analytics or AI.
• Knowledge of data quality, metadata, and lineage practices.
• Experience with insurance data is essential.

Responsibilities

• Build AWS-based data pipelines supporting priority AI use cases.
• Ingest and transform structured and unstructured data.
• Implement data-quality, metadata, lineage and access controls.
• Translate workflow requirements into fit-for-purpose data products.
• Establish ownership and refresh requirements with stakeholders.
• Develop reusable interfaces with source-system teams and AI squads.

Skills

SQL

Python

AWS

Data pipelines

Insurance data

Tools

AWS

Lakehouse

MDM

Job description

Asia AI-Ready Data Engineer

Regional AI Centre of Excellence | Global Life Insurer

Location: Hong Kong; candidates based in the Philippines or India may also be considered
Experience: 2–10+ years of relevant experience

The opportunity

We are partnered with a global life insurer to build out the data capabilities supporting its regional AI Centre of Excellence and wider transformation across Asia. Reliable, well-governed data will underpin the development of machine learning, generative AI and agentic solutions across its businesses.

As an AI-Ready Data Engineer, you will work with regional data platform teams and AI delivery squads to create data products that support both experimentation and production. Working within AWS-hosted lakehouse and master data management environments, you will connect insurance data and redesigned business workflows with the requirements of modern AI applications.

What you will do

• Build AWS-based data pipelines supporting priority AI use cases.
• Ingest and transform structured and unstructured data.
• Implement data-quality, metadata, lineage and access controls.
• Translate workflow requirements into fit-for-purpose data products.
• Establish ownership and refresh requirements with business and technical stakeholders.
• Develop reusable interfaces with source-system teams, solution designers and AI squads.

What you will bring

• Strong SQL and Python skills.
• Hands-on experience developing data pipelines and integrating with AWS.
• Experience working with structured and unstructured data for analytics, AI or digital applications.
• Practical knowledge of data quality, metadata and lineage.
• Experience working with insurance data and processes is essential.

Preferred: Experience with insurance data models, lakehouse environments, insurance technology and a major Chinese cloud platform.

Why this role

You will build data foundations that serve multiple AI initiatives, combining insurance-domain knowledge with engineering work that directly enables regional experimentation and production delivery.