Data Engineer (ME1284)

Closing date: Number of positions: 1 Recruiter name: Siva Krishna Bonda Reference number: 74669 Mediclinic Corporate Office Dubai | Dubai | United Arab Emirates MAIN PURPOSE OF JOB To build, run and improve the data pipelines, enterprise data models and governed data products that feed reporting, analytics and AI at Mediclinic Middle East. To deliver the data for the Operational Excellence workstream to agreed standards of quality, timeliness and security, working to the architecture and engineering standards set by the Lead Data Architect: automated measurement of process KPIs in place of manual collection, the data layer behind the Operations Command Centre, and the data on which certified baselines and benefit evidence rest. KEY RESPONSIBILITY AREAS 1 Build and maintain reliable data pipelines and enterprise data models for the Operational Excellence workstream 2 Deliver governed data products through the Denodo access layer for reporting, the command centre and AI use cases 3 Ensure the quality, security and integrity of the data that baselines and benefits rest on 4 Work to engineering standards, document the work and support colleagues and data consumers REQUIRED EDUCATION ESSENTIAL EDUCATION Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field DESIRED EDUCATION Certification in InterSystems IRIS, Denodo or Microsoft Azure data engineering REQUIRED EXPERIENCE ESSENTIAL MINIMUM EXPERIENCE Minimum 3 years of experience in data engineering, ETL or database development DESIRED EXPERIENCE More than 5 years in data engineering Healthcare data (EHR, claims or clinical coding) and data virtualisation or healthcare data platforms Real-time or near-real-time data feeds for operational dashboards and alerting REQUIRED JOB SKILLS AND KNOWLEDGE InterSystems IRIS for Health, HealthShare or a comparable healthcare data platform Data virtualisation development Cloudshare and university security systems, including authentication, authorizstion, and data security Cloud & hybrid networking (e.g., Azure/AWS connectivity patterns, private connectivity, DNS, routing) Cloud Database Exposure (Azure/AWS) Cloud MS Azure, Cloud Architecture Cloud Security (Azure Security Center, Microsoft Defender) Data Science, Data Engineering, Analytical Methods (e.g., Statistics, Machine Learning, Artificial Intelligence) Evaluation of digital health, health technology and innovation, artificial intelligence, machine learning Analysis, interpretation, and presentation of healthcare data and information Applied data analytics within a healthcare environment Agile Development Methodologies Process knowledge (BPMN 2.0, KPI and SLA frameworks) sufficient to turn process definitions into data All applicants will be considered, with the understanding that preference will be given to the designated groups in accordance with the United Arab Emirates Emiratization Program. If you wish to grow with us, apply now and become a part of the Mediclinic Middle East Family

Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field. Certification in InterSystems IRIS, Denodo or Microsoft Azure data engineering. Minimum 3 years of experience in data engineering, ETL or database development. More than 5 years in data engineering (desirable). Experience in healthcare data (EHR, claims or clinical coding) and data virtualization or healthcare data platforms (desirable). Real-time or near-real-time data feeds for operational dashboards and alerting (desirable).

Build and maintain reliable data pipelines and enterprise data models for the Operational Excellence workstream. Deliver governed data products through the Denodo access layer for reporting, the command centre and AI use cases. Ensure the quality, security and integrity of the data that baselines and benefits rest on. Work to engineering standards, document the work and support colleagues and data consumers.