Data Engineer

Mediclinic Middle East

Dubai

On-site

AED 240,000 - 360,000

Full time

6 days ago
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Job summary

Mediclinic Middle East is seeking a data engineer to build and run data pipelines, enterprise data models and governed data products for reporting, analytics and AI across the organization.

You will deliver data to the Operational Excellence workstream with a focus on quality, timeliness and security while adhering to architecture and engineering standards and supporting data consumers and colleagues.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field.

Responsibilities

  • Build and maintain reliable data pipelines and enterprise data models for the Operational Excellence workstream.

Skills

Data pipelines
ETL
Data modelling
Data governance
Healthcare data
Cloud security
Agile
Analytics

Education

Bachelor’s degree in Computer Science/IS/Engineering

Tools

InterSystems IRIS for Health
Denodo
Microsoft Azure

Job description

Job Description:
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
  • 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
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
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
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