Data Engineer
Summary
Data Engineer building and optimizing ETL pipelines, data models, and BI workflows using SQL, Power BI, and SSAS for a large technology and telecoms organization in Hong Kong.
- 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.