Senior Data Engineer

Gleneagles Hospital Hong Kong

Southern District, Hong Kong
Permanent
Full-time

4 days ago

Gleneagles Hospital Hong Kong (Gleneagles) is a state-of-the-art, multi-specialty private tertiary hospital designed to provide the Hong Kong people with high-quality and accessible healthcare services.Located at Wong Chuk Hang on Hong Kong Island South, Gleneagles provides 500 beds, cutting edge medical technologies and a comprehensive range of clinical services spanning more than 35 specialties and subspecialties. As Hong Kong’s top-notch private teaching hospital, Gleneagles also contributes to the training and development of healthcare professionals, and advancement of clinical research.Gleneagles is a joint venture hospital between IHH Healthcare and CTF Services Limited and is managed by IHH Healthcare. The University of Hong Kong is the exclusive clinical partner of Gleneagles and is responsible for clinical governance.Job Responsibilities

Design and maintain scalable data pipelines to support enterprise reporting, analytics, and AI initiatives across hospital operations
Collaborate with business users to gather data requirements and deliver timely, accurate, and actionable insights
Coordinate with the Group Data Team to align on data platform architecture, standards, and governance policies
Ensure data quality, integrity, and security through robust validation, monitoring, and compliance practices
Develop and optimize ETL processes for structured and unstructured data from diverse hospital systems
Support AI and machine learning projects by preparing high-quality datasets and integrating model outputs into operational workflows
Document data assets and workflows to promote transparency, reusability, and cross-functional understanding
Mentor junior engineers and analysts, fostering a culture of data excellence and continuous improvement

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
With at least 5 years of experience in data engineering, data architecture, or analytics in enterprise environments
Proficiency in SQL and Python, with hands-on experience in building and optimizing data pipelines
Expertise in cloud platforms such as Azure, AWS, or GCP, including data lake and warehouse solutions
Strong understanding of data governance, data quality frameworks, and metadata management
Experience with ETL tools and real-time data streaming
Familiarity with AI/ML workflows, including data preparation and model integration into production systems
Excellent problem-solving skills, with the ability to translate business needs into technical solutions
Strong communication and collaboration abilities, especially in cross-functional and multi-disciplinary teams
Knowledge of healthcare data standards (e.g., HL7, FHIR) is highly desirable

*Gleneagles always prioritizes staff’s well-being and work-life balance. Join us now to enjoy our enhanced leave package with Family Care Leave, Birthday Leave, etc! We also offers Voluntary Provident Fund Scheme - employer's contributions including MPF equal to 8% of employee's basic salary, with no cap. Join us and let us be your long-term partner through your journey of career development!Interested candidates are invited to submit their resumes with current and expected salary directly via email to [email redacted, apply via Company website]For company details, please refer to http://www.gleneagles.hk/Personal data collected will be used for recruitment purpose only.

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