Data Engineer - Financial Institution - J13171

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

Job summary

Pinpoint Asia’s client, a leading Financial Institution in Hong Kong, is embarking on a multi-year digitalization journey. They seek a Data Engineer (Platform) to build solutions for a next-generation Data & Analytics Platform and to enable AI-enabled data pipelines.

You will design and implement scalable data lake infrastructure, IaC and CI/CD, collaborate with Architects and AI Engineers, and deliver robust data virtualization, APIs integration, and end-to-end data workflows in a fast-paced,

Qualifications

• 3+ years of experience in data platform development, with large-scale infrastructure (100+ TB).
• Strong programming in Python, Java, or Node.js, plus Bash/PowerShell scripting.
• Hands-on with Data Lake frameworks (Hudi, Iceberg, Delta Lake) and data processing tools (Airflow, Spark).
• Deep knowledge of modern infra and deployments (Docker, Kubernetes, Terraform, Jenkins, Ansible).
• Familiarity with AWS, Azure, AliCloud and data security best practices.
• Excellent problem-solving skills in a global financial services environment.

Responsibilities

• Build and enhance robust data platform solutions, focusing on data virtualization, visualization, and advanced data lakes.
• Design, implement, and manage scalable infrastructure using IaC and CI/CD pipelines.
• Develop services and integrate them with internal and external APIs / MCPs.
• Collaborate with Architects, AI Engineers, and Product Owners to deploy AI applications and robust data pipelines in a continuous delivery environment.

Skills

Python

Java

Node.js

Bash/PowerShell

Data platform development

Data processing with Airflow/Spark

Tools

Docker

Kubernetes

Terraform

Jenkins

Ansible

Apache Airflow

Apache Spark

Delta Lake

Iceberg

Hudi

AWS

Azure

AliCloud

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.