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Senior Consultant Data Engineer (EPIC)

Delphi Consulting Middle East
Abu Dhabi Emirate, UAE
Contract
Mid-Senior
3 months ago
GitScalaVAT
Free

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Overview

Join Delphi - Where Innovation meets transformation

At Delphi, we believe in creating an environment where our people thrive.

Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both so you can prioritize what matters most.

We are committed to supporting your personal goals, family, and overall well being while driving transformative results for our clients.

We welcome exceptional talent from anywhere across the globe.

Interviews and onboarding are conducted virtually, reflecting our digital-first mindset.

Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization.

Whether it’s enabling predictive analytics, transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future.

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

Employment Type - Contract 2 Years

We are seeking a Senior 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 Lakehouses, 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.

1. 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.

2. 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).

3. 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.

4. 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

  • 8+ 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:
  • o Lakehouse

O Fabric Data Factory

  • o OneLake
  • Strong SQL and data modeling 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.
  • Good to Have
  • Experience supporting clinical, claims, or EHR analytics.
  • Exposure to AI/ML workflows in healthcare.
  • Knowledge of FHIR, HL7, or OMOP models.

What We Offer

At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally.

Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported.

We believe in your continuous growth and offer company sponsored certifications, training programs, and skill-building opportunities to help you succeed.

We foster a culture of inclusivity and support, with remote work options and a fully supported work-from home setup to ensure your comfort and productivity.

Our positive and inclusive culture includes team activities, wellness and mental health programs to

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