Data Engineer (Financial Institution)

Key Responsibilities:

• Building and enhancing data platform solutions including data virtualization, data visualization and data lake

• Conduct data platform proof-of-concept and acceptance testing

• Develop services and integrate them with internal and external APIs / MCPs

• Identify and evaluate new technologies that improve performance, maintainability and scalability of our infrastructure.

• Work closely with Architects, Platform Engineers and Product Owners to deliver software in a continuous delivery environment.

• Work closely with AI Engineer, Data Engineer and business stakeholders to assist in the development and deployment of AI application and data pipeline.
  

Qualifications:

• University degree in computer science, software engineering, or related fields

• At least 3 years of experience in data platform development

• Experience in delivery of large scale data infrastructure (in scale of hundreds of TB) is highly desired

• Experience in system design and Infrastructure as Code (IaC) is a must

• Experience in designing, implementing and managing DevOps pipelines in a large scale enterprise environment is preferred

• Experience in public cloud platforms (AWS, Azure, AliCloud) and having any relevant certification is a plus

• Experience of implementing data security capabilities such as encryption, anonymization is a plus

• Experience with bash scripting for automation and system integration

• Experience in agentic coding and SDLC is a plus

• Experience in the following technology stack Programming skills, in any one of these programming language (Java, Nodejs, Python)

  • Scripting: Bash script or PowerShell

  • CICD Suite: Jenkins, JIRA, Sonar, Git, Ansible

  • Test Framework: jMeter, jUnit, PyTest

  • Data Engineering: Airflow, Spark

  • Data Lake Framework: Apache Hudi / Iceberg / Delta Lake

  • Infrastructure: Docker, Terraform, Kubernetes

• Experience in working in an international team, with solid grounding in financial service is a plus

• Excellent communication skills, with proficiency in written and spoken English, Cantonese and/or Mandarin

• Working location in Hong Kong