Data Engineer - Financial Services / AI Projects - Up to 45k !
Summary
Adecco is hiring a Data Engineer for financial-services/AI projects in Hong Kong. The role builds data platform solutions (data lake, virtualization, visualization), develops API-integrated services, and supports AI application deployment, using Java/Node.js/Python, Airflow, Spark, Docker, Terraform, Kubernetes and public cloud in a CI/CD DevOps environment.
Data Engineer - Financial Services / AI Projects - Up to 45k !
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
- 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 and data driven thinking capabilities
Please note that only short listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes.