Automation Platform Engineer — Data Pipelines & BI
Michael Page International (Hong Kong) Limited
Hong Kong
On-site
HKD 223,200 - 390,600
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Competitive monthly salary and benefits package
Opportunity to work with a reputable large organization
Engaging temporary role with exposure to cutting-edge technology
Job summary
Michael Page International (Hong Kong) Limited is seeking a System Engineer with expertise in automation platforms based in Kowloon. The successful candidate will support data pipeline initiatives, design testing data for risk and reporting, and work with various stakeholders to ensure seamless delivery. Candidates should have a degree in Computer Science or related fields, alongside hands-on skills in Python, SQL, and Tableau. Join this reputable organization within the public sector and contribute to impactful technology projects.
Qualifications
At least 1 year of experience in system engineering, DevOps, or automation.
Understanding of data engineering workflows and promotion processes.
Knowledge of data visualisation for operational and risk monitoring.
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
UiPath
Xceptor
PySpark
Apache Airflow
Education
Degree in Computer Science, Data Science, IT
Job description
Michael Page International (Hong Kong) Limited is seeking a System Engineer with expertise in automation platforms based in Kowloon. The successful candidate will support data pipeline initiatives, design testing data for risk and reporting, and work with various stakeholders to ensure seamless delivery. Candidates should have a degree in Computer Science or related fields, alongside hands-on skills in Python, SQL, and Tableau. Join this reputable organization within the public sector and contribute to impactful technology projects.