Data Engineer - Financial Services/ AI Projects - up to 50K

Adecco; Hong Kong; On-site; HKD 520,000 - 880,000; Full time

Job summary

Adecco in Hong Kong seeks a data platform engineer to build and enhance data platform solutions, including data virtualization, visualization and a data lake. You will drive POC testing, develop services and integrate APIs in a CD environment, collaborating with Architects, Platform Engineers and Product Owners.

You will partner with AI and Data Engineers to deploy AI applications and data pipelines, focusing on scalable, secure delivery for a financial services context.

Qualifications

• University degree in computer science, software engineering, or related fields.
• At least 3 years of experience in data platform development.
• Experience delivering large-scale data infrastructure, preferably in hundreds of TB.
• Experience in system design and Infrastructure as Code (IaC).
• Experience in designing, implementing and managing DevOps pipelines in a large-scale enterprise.
• Experience with public cloud platforms (AWS, Azure, AliCloud) and any relevant certification is a plus.
• Experience implementing data security such as encryption and anonymization is a plus.
• Programming skills in Java, Node.js or Python.
• Scripting: Bash or PowerShell.
• CICD: Jenkins, JIRA, Sonar, Git, Ansible.
• Test frameworks: jMeter, jUnit, PyTest.
• Experience in international teams and financial services is a plus.
• Excellent communication and data-driven thinking.

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 to improve performance, maintainability and scalability.
• Work closely with Architects, Platform Engineers and Product Owners in a continuous delivery environment.
• Collaborate with AI Engineer, Data Engineer and business stakeholders to assist in development and deployment of AI applications and data pipelines.

Skills

Data platform

Data virtualization

Data lake

IaC

DevOps pipelines

Cloud platforms

Java

Node.js

Python

Bash/PowerShell

CI/CD tools

Jenkins

JIRA

Sonar

Git

Ansible

JUnit

PyTest

Data security

Education

University degree in CS/SE

Tools

Jenkins

JIRA

Sonar

Git

Ansible

jMeter

jUnit

PyTest

Bash

PowerShell

Job description

• 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 ofTB) 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 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
• Experience in working in an international team, with solid grounding in financial service is a plus
• Excellent communication skills and data driven thinking capabilities