Senior Data Engineer

• 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 costefficiency 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

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field

• 5+ 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 DevOps or DataOps practices is preferred

• Proficiency in SQL, Python and exper ience 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 NoSQL 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 rolebased access control and protection of sensitive data

• Strong communication and stakeholder management skills, with the ability to explain complex data concepts to nontechnical audiences and translate business needs into technical solutions

• Problemsolving 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!