Back to search

Data Analytics Engineer 35-45K

Causeway Bay Temporary HK$35,000 - HK$45,000 per month (HK$420,000 - HK$540,000 per year) View Job Description
As a Data Analytics Engineer in Kowloon, you will work within the technology industry to develop and maintain data solutions that support business objectives. This temporary role offers a chance to apply your technical expertise in a busy environment.
  • Drive enterprise-scale data warehouse and BI initiatives
  • Exposure to modern analytics and ETL technologies

About Our Client

Our client is a leading telecommunications organisation in Hong Kong, supporting large-scale data warehouse and business intelligence platforms. They are seeking an experienced Data Analytics Engineer to strengthen their Data Warehouse team and drive data pipeline enhancement, analytics solutions, and enterprise data architecture initiatives.

Job Description

  • Partner with business users, architects, developers and data stakeholders to translate requirements into scalable analytics solutions.
  • Design, develop and optimise ETL data pipelines, data models, and integration frameworks.
  • Support data warehouse architecture improvements and drive best practices for data management.
  • Conduct data quality assessments, reconciliation processes and exception handling controls.
  • Troubleshoot and resolve data discrepancies across upstream and downstream systems.
  • Gather, analyse and validate business requirements through workshops and stakeholder engagement.
  • Prepare technical documentation covering functional and non-functional requirements.
  • Evaluate new data sources and assess integration impacts on existing platforms.
  • Develop dimensional data models including Star Schema and Snowflake Schema designs.
  • Ensure solution scalability, maintainability, governance and traceability for enterprise data platforms.
  • Support Power BI and SSAS environments, including deployment, performance tuning and security configuration.

The Successful Applicant

  • Degree holder in Computer Science, Engineering, Statistics, Mathematics, Business Management, Project Management or related disciplines.
  • Minimum 5 years of IT experience with exposure to data warehouse, business intelligence or data migration projects.
  • At least 3 years of hands-on experience with Oracle or SQL Server development.
  • Strong knowledge of SQL, Stored Procedures, DDL and DML programming.
  • Solid understanding of data modelling, data architecture and data quality management principles.
  • Experience designing ETL processes and enterprise data warehouse solutions.
  • Hands-on experience with Power BI, SSAS and dimensional modelling techniques.
  • Familiarity with Star Schema, Snowflake Schema and data warehouse best practices.
  • Knowledge of Power BI security models, including Row-Level Security.
  • Experience working with JSON APIs and Power Query M scripts is advantageous.
  • Exposure to Hadoop, Python, Java Spring Boot, Docker or OpenShift is a plus.
  • Strong analytical thinking, problem-solving and stakeholder management skills.
  • Fluent in written and spoken English and Chinese (Cantonese and Mandarin).

What's on Offer

  • Competitive monthly salary and benefits package.
  • All-inclusive benefits package.
  • Temporary role in a prominent technology setting in Kowloon.



If you have the right skills and experience, consider applying for this role today.

Contact
Michael Loe
Quote job ref
JN-072026-7066562
Phone number
+85225306127

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Technology & Telecoms
Location
Causeway Bay
Job Type:
Temporary
Consultant name
Michael Loe
Consultant phone
+85225306127
Job Reference
JN-072026-7066562

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.