Automation Data Platform Engineer

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

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.