Healthcare Data Engineer: Real-Time Pipelines & AI

Mediclinic International; Abu Dhabi; On-site; AED 300,000 - 500,000; Full time

Job summary

Mediclinic International is seeking a skilled Data Engineer to build, run and improve data pipelines and enterprise data models for the Operational Excellence workstream. You will deliver governed data products through the Denodo access layer for reporting, the command centre and AI use cases.

The role focuses on ensuring data quality, security and integrity across baselines and benefits, while adhering to engineering standards and documenting work for data consumers.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field
• Certification in InterSystems IRIS, Denodo or Microsoft Azure data engineering

Responsibilities

• Build and maintain 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

Skills

InterSystems IRIS for Health

Data virtualisation development

Cloud & hybrid networking

Cloud MS Azure

Data Science / Data Engineering

Agile methodologies

Healthcare data analytics

KPI & SLA analysis

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering

Certification in Denodo / Microsoft Azure data engineering

Tools

Denodo

Job description

Mediclinic International is seeking a skilled Data Engineer to build, run and improve data pipelines and enterprise data models for the Operational Excellence workstream. You will deliver governed data products through the Denodo access layer for reporting, the command centre and AI use cases.

The role focuses on ensuring data quality, security and integrity across baselines and benefits, while adhering to engineering standards and documenting work for data consumers.