Data Engineer

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 520,000 - 770,000; Full time

Benefits offered by this job

Competitive salary

eMPF transformation project

Exposure to BI and data modeling

Job summary

Our client, a large organization in the Technology & Telecoms sector, based in Kowloon, Hong Kong, seeks an experienced Senior Data Engineer to troubleshoot and enhance BI and data warehouse workflows, translating analytics needs into scalable ETL designs.

You will collaborate with architects, developers and data providers to ensure aligned technical solutions, participate in workshops, and drive data quality and scalable data models.

Qualifications

• Bachelor's degree in IT, engineering, statistics or related discipline.
• Strong understanding of data modelling, data quality frameworks, and data warehouse architecture.
• Proficient with SQL and PL/SQL including data manipulation and schema operations.
• Advantageous experience with Hadoop, Python, Java Spring Boot, Docker, or OCP.
• Solid Power BI skills across data modelling, reporting, integration, and security.

Responsibilities

• Handle troubleshooting and enhancement of BI and data warehouse workflows.
• Convert analytics and data pipeline requirements into scalable models and ETL designs.
• Work closely with architects, developers, and data providers to align technical solutions.
• Participate in requirement workshops and coordinate with stakeholders for clarity and alignment.
• Build and refine ETL structures covering data integration, storage, error handling, and validation.
• Prepare clear technical specifications for both functional and non-functional components.
• Design data models that support long-term scalability and minimize costly redesign.
• Evaluate and onboard new data sources using structured data quality assessment.
• Identify and resolve data inconsistencies by optimizing ETL logic and workflows.

Skills

BI/Analytics

ETL design

Data modeling

SQL/PLSQL

Python/Java Spring Boot

Power BI/SSAS

Hadoop/Docker

Education

Bachelor's degree in IT/Engineering/Statistics

Tools

Power BI

SSAS

JSON API data sourcing

Power Query M

Job description

• Handle troubleshooting and enhancement of BI and data warehouse workflows
• Convert analytics and data pipeline requirements into scalable models and ETL designs
• Work closely with architects, developers, and data providers to align technical solutions
• Participate in requirement workshops and coordinate with stakeholders for clarity and alignment
• Build and refine ETL structures covering data integration, storage, error handling, and validation
• Prepare clear technical specifications for both functional and non-functional components
• Design data models that support long-term scalability and minimize costly redesign
• Evaluate and onboard new data sources using structured data quality assessment
• Identify and resolve data inconsistencies by optimizing ETL logic and workflows

• Handle troubleshooting and enhancement of BI and data warehouse workflows
• Convert analytics and data pipeline requirements into scalable models and ETL designs
• Work closely with architects, developers, and data providers to align technical solutions
• Participate in requirement workshops and coordinate with stakeholders for clarity and alignment
• Build and refine ETL structures covering data integration, storage, error handling, and validation
• Prepare clear technical specifications for both functional and non-functional components
• Design data models that support long-term scalability and minimize costly redesign
• Evaluate and onboard new data sources using structured data quality assessment
• Identify and resolve data inconsistencies by optimizing ETL logic and workflows

Opportunity to support large-scale enterprise data platformsStrong exposure to ETL, BI, and data warehouse architecture

• Bachelor's degree in IT, engineering, statistics, or related disciplines
• Strong understanding of data modelling, data quality frameworks, and warehouse architecture
• Proficient with SQL and PL/SQL including data manipulation and schema operations
• Advantageous experience with Hadoop, Python, Java Spring Boot, Docker, or OCP
• Solid Power BI skills across data modelling, reporting, integration, and security
• Familiar with dimensional models such as Star Schema and Snowflake
• Experience with SSAS, row-level security, JSON API data sourcing, and Power Query M
• Skilled in managing Power BI-SSAS migrations, versioning, and environment deployments
• Strong analytical ability with effective communication in English and Chinese
• Minimum 5+ years in data engineering, BI, or data migration projects

Our client is a large organization in the Technology & Telecoms industry, known for delivering innovative solutions and cutting-edge technology. Based in Kowloon, the company focuses on data-driven advancements and robust technological frameworks.

• Competitive Monthly Salary and Benefits package.
• Chance to contribute to a high-impact eMPF transformation project.
• Deep technical exposure across BI, data modelling, and enterprise ETL.
• Collaborative work environment with strong stakeholder engagement.