Data Platform Engineer for AI & FinServ on Cloud

ADECCO; Hong Kong; On-site; HKD 301,000 - 502,000; Full time

Job summary

ADECCO is seeking a Data Engineer to build and enhance data platform solutions, including data lake, data virtualization, and data visualization. You will collaborate with architects and product owners in a CD environment to deliver robust systems.

You will contribute to POC, acceptance testing, and integration with APIs, with a focus on scalability, security, and maintainability across cloud platforms.

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 (hundreds of TB) is highly desired.
• IaC and DevOps pipelines in a large-scale enterprise environment are required/preferred.
• Experience with public cloud platforms (AWS, Azure, AliCloud) and relevant certifications is a plus.
• Knowledge of data security concepts such as encryption and anonymization is a plus.

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.

Skills

Data platform

DevOps pipelines

Cloud platforms

Communication skills

Data security

IaC

Programming

Education

University degree

Tools

Java

Python

Node.js

Jenkins

Terraform

Kubernetes

Airflow

Spark

Delta Lake

Job description

ADECCO is seeking a Data Engineer to build and enhance data platform solutions, including data lake, data virtualization, and data visualization. You will collaborate with architects and product owners in a CD environment to deliver robust systems.

You will contribute to POC, acceptance testing, and integration with APIs, with a focus on scalability, security, and maintainability across cloud platforms.