Role Overview The Senior Data Engineer is responsible for bridging business objectives and technical execution, leading the delivery of data engineering initiatives spanning data lakes, data platform modernization, and reporting solutions. The role requires strong expertise in cloud data architectures and
Company Description The present and future of Audemars Piguet are built on the invaluable contributions of all our talents. Inspired by the wealth of our past, we are excited about the endless possibilities that our future
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.
About the Company Our client is a highly respected, forward‑thinking organisation in Hong Kong known for its commitment to innovation and data‑driven excellence. They invest heavily in modern business intelligence technologies and foster a workplace culture that
We are seeking a Senior Data Engineer to build cloud-based data products that power insurance analytics and reporting. You will design reliable pipelines on Microsoft Azure using Azure Databricks and Python, improve data quality and governance and partner with
Responsibilities Implement AI+ data platform architecture including big data, NoSQL, steaming and AI applications for providing data services to other banking systems and business users Establish framework, development standard, enterprise data model and incorporate DEVOPS tools and methodology for data platforms
Job No.: 499041 Employment Type: Full time Departments: Information Technology Department Job Functions: Information Technology Responsibility: Handle data management and operation activities as BAU or assigned projects in data platforms, including data injection, data masking, data authorization, data aggregation, data labelling, troubleshooting and
Responsibilities Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges; Perform data preprocessing and engineering activities including collection, cleansing and validation of datasets, and transform the data into format suitable for consumption by
Candidates with less experience will be considered as Data Analytics Manager. Responsibilities Formulate strategy in acquiring (structure and unstructured data), cleansing, analyzing and turning insights into business result Gather requirements from key stakeholders to design, develop and improve Group
SW8829 |14 Jul 2025 Oracle Developer (Oracle PL/SQL, Data Migration, 40-50K) Responsibilities Analyze data source requirements and develop data migration templates. Develop programs to perform data extraction, validation, and transformation. Ensure that developed and enhanced programs are thoroughly tested. Conduct
SW8829 |14 Jul 2025 Oracle Developer (Oracle PL/SQL, Data Migration, 40-50K) Analyze data source requirements and develop data migration templates. Develop programs to perform data extraction, validation, and transformation. Ensure that developed and enhanced programs are thoroughly tested. Conduct performance
Technical Lead / Senior Engineer (ETL/SAS) (Public Enterprise) Client Description Well-established public enterprise Job Description Technical Lead / Senior Engineer (SAS) Responsibilities Be the IT representative to validate all works done by SI Participate all Marketing
Data Architect / Scientist / Warehouse Consultant / Analyst - IC Client Description Leading IT&T services company in Hong Kong Data Platform Architect Responsibilities Translate client pain-points into problem statements, gathering requirement from client business needs, design and
Responsibility Handle data management and operation activities as BAU or assigned projects in data platforms, including data injection, data masking, data authorization, data aggregation, data labelling, troubleshooting and user supports Liaise with end users and IT teams from senior to working levels to
Job Responsibilities Responsible for data management process including data cleansing, duplication, transformation, etc. Deliver data analytical project of construct various of statistic and operation reports Participate in project delivery cycle Conduct system testing, user acceptance test support and production verification
Responsibilities: Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges; Perform data preprocessing and engineering activities including collection, cleansing and validation of datasets, and transform the data into format suitable for consumption by
Job No.: 499041 Employment Type: Full time Departments: Information Technology Department Job Functions: Information Technology Responsibility: Handle data management and operation activities as BAU or assigned projects in data platforms, including data injection, data masking, data authorization, data aggregation, data labelling, troubleshooting and
Responsibilities Handle data management and operation activities as BAU or assigned projects in data platforms, including data injection, data masking, data authorization, data aggregation, data labelling, troubleshooting and user supports Liaise with end users and IT teams from senior to working levels to
Responsibilities Implement AI+ data platform architecture including big data, NoSQL, steaming and AI applications for providing data services to other banking systems and business users Establish framework, development standard, enterprise data model and incorporate DEVOPS tools and methodology for data platforms
Prepare regular MIS reports on bank-wide credit portfolio to senior management and relevant committees Prepare HKMA Banking Returns and ensure the high data accuracy in a timely manner Responsible for the on-going automation and enhancement of reporting