Data Engineer (EPIC Clarity)

About This Role

***HIRING***

Job Title – Data Engineer (EPIC)

Salary – AED 20,000 Per Month

Contract Length – 12 Months with a further 1-year extension

Location – Onsite, Abu Dhabi

Start Date – ASAP

About the Role: Senior Consultant – Data Engineering (Epic)

Location: Abu Dhabi (Onsite) Experience – 5+ Years

My client is seeking a Data Engineer

with strong expertise in Epic Clarity and Microsoft Fabric

to build scalable, AI-ready healthcare data platforms. This role will focus on designing Fabric Lakehouse’s, extracting and transforming Epic Clarity data, and automating AI training pipelines for predictive healthcare analytics.

You will play a critical role in building longitudinal patient datasets and ensuring high-quality, drift-free data feeds for AI and advanced analytics.

What You’ll Do:

Key Responsibilities

Data Engineering & Fabric Ecosystem

• Design and implement Fabric Lakehouse architecture optimized for AI training, historical analytics, and healthcare reporting.
• Develop scalable data models to support large-scale patient data ingestion and analytics.

Epic Clarity Data Mining

• Perform advanced data extraction from Epic Clarity to build longitudinal patient records.
• Create structured datasets for retrospective analysis and AI model validation.
• Ensure data accuracy, consistency, and regulatory compliance (HIPAA, PHI standards).

Pipeline Automation & AI Enablement

• Build and manage automated pipelines using Microsoft Fabric Data Factory.
• Ensure continuous refresh of AI training datasets to prevent data drift.
• Implement monitoring, alerting, and validation checks for healthcare data pipelines.

Data Quality, Governance & Security

• Enforce data governance, lineage, and auditability within Fabric.
• Implement role-based access control (RBAC) and PHI-safe data handling

Required Skills & Experience

• 5+ years of experience in Data Engineering in healthcare, life sciences, or regulated industries.
• Strong hands-on experience with Epic Clarity (SQL-based reporting database).
• Deep expertise in Microsoft Fabric, including

- Lakehouse

- Fabric Data Factory

- OneLake

• Strong SQL and data modelling skills for healthcare datasets.
• Experience building AI-ready data pipelines for ML training and validation.
• Knowledge of HIPAA compliance, PHI handling, and healthcare data standards

Thanks,

Ollie