Data Engineer - Financial Institution - HKD 40k - J13171

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.