Data Platform Engineer (Automation)

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 391,000 - 614,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Exposure to cutting-edge technology in

Temporary role in public sector Kowlo

Job summary

Michael Page International (HK) Ltd seeks a data/DevOps oriented professional to support automated data pipelines and risk reporting in Hong Kong. The role focuses on translating business needs into robust data solutions and collaborating across project teams.

Candidates should have 1+ year in system engineering, DevOps, or automation, with strong Python, SQL, and Tableau skills, plus familiarity with UiPath, PySpark, or Apache Airflow. English and Chinese communication helpful.

Qualifications

• Degree in Computer Science, Data Science, IT, or a related discipline.
• At least 1 year of system engineering, DevOps, or automation.
• Strong Python, SQL, and Tableau skills.
• Familiarity with BI tools and data pipelines.
• Knowledge of data engineering workflows and promotion processes.
• English and Chinese communication skills.

Responsibilities

• Support Centre of Excellence initiatives focused on automated data pipelines.
• Design, validate, and monitor large-scale testing data for risk and reporting.
• Translate business requirements into reliable system and data solutions.
• Collaborate with business users and project teams for end-to-end delivery.
• Provide system-level support to ensure stable platform operations.
• Maintain system architecture diagrams, deployment guides, and runbooks.
• Assist project managers in using BI tools and Data-as-a-Service platforms.

Skills

Python

SQL

Tableau

English & Chinese

Education

Degree in Computer Science / Data Science / IT or related discipline

Tools

UiPath

Xceptor

PySpark

Apache Airflow

Job description

• Support Centre of Excellence initiatives focused on automated data pipelines
• Design, validate, and monitor large‑scale testing data for risk and reporting
• Translate business requirements into reliable system and data solutions
• Collaborate with business users and project teams for end‑to‑end delivery
• Provide system‑level support to ensure stable platform operations
• Maintain system architecture diagrams, deployment guides, and runbooks

• Support Centre of Excellence initiatives focused on automated data pipelines
• Design, validate, and monitor large‑scale testing data for risk and reporting
• Translate business requirements into reliable system and data solutions
• Collaborate with business users and project teams for end‑to‑end delivery
• Provide system‑level support to ensure stable platform operations
• Maintain system architecture diagrams, deployment guides, and runbooks
• Assist project managers in using BI tools and Data‑as‑a‑Service platforms

Join a large‑scale data and technology transformation programmeGain exposure to automation, data pipelines, and BI platforms

• Degree in Computer Science, Data Science, IT, or a related discipline
• At least 1 year of experience in system engineering, DevOps, or automation
• Strong hands‑on skills in Python, SQL, and Tableau
• Experience with UiPath, Xceptor, PySpark, or Apache Airflow is highly advantageous
• Understanding of data engineering workflows and promotion processes
• Knowledge of data visualisation for operational and risk monitoring
• Exposure to central banking or regulatory environments is a plus
• Strong analytical thinking, communication, and problem‑solving abilities
• Team‑oriented mindset with good English and Chinese communication skills

Our client is a well-established large organization within the public sector, focused on delivering innovative solutions to enhance operational efficiency. Known for its emphasis on technology and modernization, the company provides a professional environment for growth and collaboration.

• Competitive monthly salary and benefits package.
• Opportunity to work with a reputable large organization in the public sector.
• Engaging temporary role with exposure to cutting‑edge technology in Kowloon.
• Chance to contribute to impactful technology projects in a professional environment.