A top tier healthcare provider in Hong Kong Clear career path for personal development Competitive compensation & benefit Job Responsibilities Design and maintain scalable data pipelines to support enterprise reporting, analytics, and AI initiatives across hospital operations Collaborate with data, IT and business teams to translate business requirements into robust and reusable data and AI solutions across the organization 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 Define and implement data integration strategies and ETL/ELT patterns to ingest, transform, and distribute data from internal and external sources Monitor and optimize the performance, reliability, and cost‑efficiency of data solutions, driving continuous improvement across the data landscape 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 Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field5+ years of proven experience in data architecture, data engineering, database administration, or related roles, with hands on delivery of enterprise data solutions Experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and modern Dev Ops or Data Ops practices is preferred Proficiency in SQL, Python and experience with ETL/ELT tools and frameworks, as well as data warehousing, datalake design and real-time data streaming Familiarity with big data and streaming technologies (e.g., Hadoop ecosystem, Spark, Kafka) and No SQL databases Familiarity with AI/ML workflows, including data preparation and model integration into production systems Strong understanding of data governance, data quality, metadata management and data catalog practices Knowledge of data security, privacy, and compliance concepts, including role‑based access control and protection of sensitive data Strong communication and stakeholder management skills, with the ability to explain complex data concepts to non‑technical audiences and translate business needs into technical solutions Problem‑solving mindset and track record of designing scalable, maintainable architectures in complex environments 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'sbasic 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 (our mailbox through CTgoodjobs Apply Now)For company details, please refer to http://www.gleneagles.hk/Personal data collected will be used for recruitment purpose only.
