Data engineer - Financial Service

Michael Page International (Hong Kong) Limited; Hong Kong; On-site; HKD 300,000 - 450,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunity to contribute to impactful projects

Job summary

Michael Page International (Hong Kong) Limited is seeking a data engineer to develop and manage end-to-end data pipelines, supporting data governance practices and enhancing applications in a public sector environment.

The ideal candidate will have a degree in Computer Science or a related field and a minimum of 3 years of experience in data engineering. Strong programming skills, particularly in Python and SQL, are essential for this role.

This temporary position is based in the Central District, offering a competitive monthly salary and benefits package.

Qualifications

• Minimum 3 years of experience in data engineering, analytics, or integration development.
• Strong programming skills in languages such as Python, Java, C++, or JavaScript.
• Proven experience with SQL, ETL processes, and building data pipelines.

Responsibilities

• Develop and manage end-to-end data pipelines, from data collection and ETL to reporting and dashboard visualisation.
• Handle both recurring and ad hoc data requests from business teams with analytical insights.
• Build and maintain dashboards, data models, and reporting solutions.

Skills

Data pipeline development

Python

SQL

ETL processes

Analytical thinking

Problem-solving

Data governance

Education

Degree in Computer Science, Statistics, or a related discipline

Tools

Tableau

UiPath

Apache Airflow

Job description

• Exposure to data platforms and investment systems
• Hands-on end-to-end data pipeline development

About Our Client

Our client is a well-established organization in the public sector, known for its significant contributions to the development and regulation of Hong Kong's financial infrastructure. The organization operates as a large entity, offering a stable and structured environment for its employees.

Job Description

• Develop and manage end-to-end data pipelines, from data collection and ETL to reporting and dashboard visualisation
• Handle both recurring and ad hoc data requests from business teams with analytical insights
• Build and maintain dashboards, data models, and reporting solutions
• Support and enhance applications across the data and investment technology stack (Python, SQL, VBA, scripting tools)
• Investigate and resolve data-related issues while ensuring strong data governance practices
• Provide user support for data warehouse, data lake, and lakehouse platforms
• Collaborate with stakeholders to deliver scalable and efficient data solutions
• Contribute to ongoing projects and support ad hoc technology initiatives

The Successful Applicant

• Degree in Computer Science, Statistics, or a related discipline
• Minimum 3 years of experience in data engineering, analytics, or integration development
• Strong programming skills in languages such as Python, Java, C++, or JavaScript
• Proven experience with SQL, ETL processes, and building data pipelines
• Familiarity with data tools such as Tableau, Python, R, or Excel
• Understanding of system architecture, infrastructure, and integration concepts
• Exposure to financial data, investment workflows, or automation tools is advantageous
• Knowledge of tools such as UiPath or Apache Airflow is a plus
• Detail-oriented with strong analytical thinking and problem-solving skills
• Good communication skills in English and Chinese
• Self-motivated team player with strong organisational skills

What's on Offer

• Competitive monthly salary and benefits package.
• Opportunity to contribute to impactful projects in the public sector.
• Temporary position based in the Central District, offering a convenient work location.