Data Engineer - Financial Institution - HKD 40k - J13171

Pinpoint Asia; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Pinpoint Asia is partnering with a leading financial institution to hire a Data Engineer (Platform) for a multi-year digitalization program in Hong Kong. You will build and deploy a scalable data platform, focusing on data virtualization, data lakes, and API integrations that serve business analytics and intelligence.

You will collaborate with Architects, AI engineers, and product owners to deploy AI applications and robust data pipelines in a continuous delivery environment, using IaC and

Qualifications

• 3+ years in data platform development and large-scale infra.
• Experience with data lakes and 100+ TB scale.
• Proficient in Python/Java/Node.js and scripting.
• IaC/CD with modern tooling.
• Clouds: AWS/Azure/AliCloud and security awareness.

Responsibilities

• Build and enhance data platform solutions with data virtualization and lakes.
• Design, implement and manage scalable IaC and CI/CD pipelines.
• Develop services and API integrations with MCPs.
• Collaborate with Architects, AI Engineers, and Product Owners to deploy AI apps and robust data pipelines in CD.

Skills

Python

Java

Node.js

Bash/PowerShell

Data platform development

Tools

Docker

Kubernetes

Terraform

Jenkins

Ansible

Apache Hudi

Iceberg

Delta Lake

Airflow

Spark

Job description

Our client is a Financial Institution embarking on an exciting, multi-year digitalization journey to simplify and transform their business and IT landscape. As they rapidly grow their Digital, Data, and Technology team, they are looking for a highly skilled Data Engineer (Platform) to build solutions for their next-generation Data & Analytics Platform.

If you are passionate about large-scale data infrastructure, modern DevOps, and AI enablement, this is a fantastic opportunity to make an impact!

What You Will Do

Build and enhance robust data platform solutions, focusing on data virtualization, visualization, and advanced data lakes.

Design, implement, and manage scalable infrastructure using Infrastructure as Code (IaC) and CI/CD pipelines.

Develop services and seamlessly integrate them with internal and external APIs / MCPs.

Collaborate closely with Architects, AI Engineers, and Product Owners to deploy AI applications and robust data pipelines in a continuous delivery environment.

What You Bring to the Team

3+ years of experience in data platform development, ideally with a track record of delivering large-scale data infrastructure (100+ TB).

Strong programming capabilities in Python, Java, or Node.js, combined with Bash/PowerShell scripting for automation.

Hands-on expertise with modern Data Lake frameworks (Apache Hudi, Iceberg, Delta Lake) and data processing tools (Airflow, Spark).

Deep knowledge of modern infrastructure and deployments, including Docker, Kubernetes, Terraform, Jenkins, and Ansible.

Familiarity with public cloud platforms (AWS, Azure, AliCloud) and data security best practices.

Excellent problem-solving skills and the ability to thrive in a global, diverse financial services environment.