Data Specialist, Data and Analytics

The West Kowloon Cultural District Authority welcomes exceptional talent with a passion to realise the vision and mission of making the West Kowloon Cultural District a prime local and international destination for arts, culture and entertainment.

You will be responsible for:

• playing a key technical role in developing and enhancing the enterprise data platform and supporting related data governance, analytics, AI and digital transformation initiatives through implementation, testing, deployment and transition to operations;
• implementing a common data model across applications and ensuring data reusability to establish a single source of truth for the Authority;
• implementing data management and governance practices covering data integration, data quality, security, data cataloguing and DataOps;
• implementing and monitoring data governance controls to ensure compliance with data policies, standards and procedures across the Authority;
• promoting the adoption of data solutions among business owners by developing an MVP or piloting a use case and articulating the value and benefits of the proposal;
• supporting the end-to-end design of business solutions to ensure the seamless integration of data and insights with application and infrastructure components;
• supporting the team manager and work closely with vendors on the development of the enterprise data platform to ensure effective, high-quality and secure implementation while maintaining cost control; and
• performing any other duties from time to time as reasonably assigned by the Authority.

 

You should:

• possess a recognised university degree in Computer Science, Data Engineering, Big Data Analytics or a related discipline;
• have three to five years’ experience in data engineering, enterprise data platform development or data platform management;
• have experience contributing to or coordinating the design, implementation and maintenance of enterprise data platforms, covering data ingestion, storage, processing, modelling and data serving;
• have solid experience with Microsoft Azure data services, particularly Azure Databricks and Delta Lake, and a strong understanding of data lake and lakehouse architectures;
• be proficient in SQL and Python, with hands-on experience in developing and operating ETL/ELT pipelines, API-based integrations and reusable data-processing frameworks;
• have experience in data modelling and delivering secure, reliable, well-documented and analytics-ready datasets that meet business and downstream analytics requirements;
• understand CI/CD, DataOps, automated testing, monitoring, deployment and operational support practices for data platforms;
• have experience in data governance and data quality management, including the implementation of related standards, controls and operating procedures;
• have knowledge of Microsoft Purview or a comparable governance platform, which would be an advantage;
• have strong business acumen and problem-solving skills, with the ability to prioritise business needs, translate them into practical data solutions and articulate their value and benefits;
• be able to communicate effectively with technical and non-technical stakeholders; and
• be proficient in written and spoken English and Chinese.

For interested parties, please submit your application with detailed CV on or before following date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.

26-11-2026

Data collected will only be used for job application processing. Your data may be accessed by our appointed recruitment consultants who have agreed to keep confidence of all personal data in not less than the standards applicable to us. Applicants not being invited for interview within 4 weeks from the submission date may assume their applications unsuccessful.

All related information will be kept up to 24 months and all personal data will be destroyed afterwards.

For more information, please visit https://www.westk.hk or contact:

Cora Chan /+852 22000205