Our client is a leading financial institution in Hong Kong looking to build and scale a Next-Gen Analytic and Data focused platform in Hong Kong.

We're hiring a Data Engineer to help build and scale a next-generation Data & Analytic Platform for a leading financial institution in Hong Kong. This is a hands-on platform role - you'll design, build and improve the foundations that teams use to move, store, secure and serve data at scale, including support for AI use cases.

You'll sit in the platform team and work across data lake, virtualisation, visualisation and integration layers.

Day to day you will:

• Design and build platform capabilities (data lake, virtualisation, visualisation and related services)
• Run proofs of concept and acceptance testing on new platform features
• Build services and connect them to internal and external API
• Assess new tools and patterns that improve performance, reliability and scale
• Work with architects, platform engineers and product owners in a CI/CD environment
• Partner with AI engineers, data engineers and business users to stand up data pipelines and AI applications

Role Requirements

• Degree in Computer Science, Software Engineering or a related field
• 3+ years building data platforms
• Strong system design skills
• Hands-on Infrastructure as Code
• Comfortable with at least one of: Python, Java or Node.js
• Scripting (Bash or PowerShell)
• Experience with Docker, Kubernetes and Terraform

What the role offers:

• Work on a core data platform used across the organisation, not a side project
• Exposure to large-scale infrastructure, cloud and AI application delivery
• Close collaboration with architects, platform, AI and product teams
• Room to evaluate and introduce new technology
• A regulated financial-services environment with real production impact

If you've built data platforms before and want to work on the next layer of lake, integration and AI-ready infrastructure, this is worth a conversation