Data Analytics Engineer 30K - 42K (Senior Level up to 83K)

Michael Page International (Hong Kong) Limited; Hong Kong; On-site; HKD 446,400 - 669,600; Full time

Benefits offered by this job

Competitive monthly salary

Benefits package

Dynamic work environment

Job summary

Michael Page International (Hong Kong) Limited is seeking a skilled Senior Data Analytics Engineer in Hong Kong. This role involves designing and enhancing data pipelines, collaborating with teams to translate requirements into solutions, and supporting BI and data warehouse functions. Applicants should possess a degree in Computer Science or related fields, along with over 5 years of experience in data engineering. An attractive benefits package is offered, alongside exciting project opportunities in the technology and telecoms sectors.

Qualifications

• Minimum 5 years' experience in data engineering, analytics, or data warehouse projects.
• Strong knowledge of dimensional modelling and warehouse architecture.
• Familiarity with ETL performance tuning and data quality metrics.

Responsibilities

• Design and enhance data pipelines and analytics models.
• Collaborate with architects, developers, and business users for solutions.
• Support troubleshooting and resolution of BI and data warehouse-related issues.

Skills

Data modelling

SQL development

Power BI

Problem-solving

Multitasking

Education

Degree in Computer Science, Engineering, or Statistics

Tools

SQL Server

Oracle

Hadoop

Python

Java

Docker

Job description

Key Responsibilities

• Work on large-scale enterprise data warehouse projects.
• High exposure to financial and insurance transformation initiatives.

About Our Client

Our client is a large organization within the technology and telecoms industry, known for leveraging cutting‑edge solutions to provide innovative digital services. Located in Kowloon, the company operates in a fast-paced environment, offering opportunities to work on impactful projects.

Job Description

• Design and enhance data pipelines and analytics models for enterprise data platforms.
• Collaborate with architects, developers, and business users to translate requirements into solutions.
• Support troubleshooting and resolution of BI and data warehouse-related issues.
• Develop ETL architectures covering data integration, validation, reconciliation, and exception handling.
• Conduct data quality assessments for new data sources and analyse downstream impacts.
• Produce technical documentation covering functional and non‑functional requirements.
• Facilitate workshops to gather, validate, and align business and technical expectations.
• Bridge business needs with ETL logic by resolving data discrepancies using scalable approaches.

The Successful Applicant

• Degree holder in Computer Science, Engineering, Statistics, or related disciplines.
• Minimum 5 years' experience in data engineering, analytics, or data warehouse projects.
• Strong knowledge of data modelling, dimensional modelling, and warehouse architecture.
• Solid hands‑on experience with SQL development and stored procedures (Oracle or SQL Server).
• Practical experience using Power BI, including data models, reports, and security features.
• Familiarity with ETL performance tuning, data quality metrics, and reconciliation controls.
• Exposure to Hadoop, Python, Java, Docker, or container platforms is advantageous.
• Proficient in English and Chinese, with strong problem‑solving and multitasking skills.

What's on Offer

• Competitive monthly salary and benefits package.
• Opportunity to work on innovative projects in the technology and telecoms industry.
• Dynamic and collaborative work environment in Kowloon.

This is an exciting opportunity for a skilled Senior Data Analytics Engineer to contribute to impactful projects in a large organization.