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Algotale - Delphi; Senior Consultant - Data Engineer

Remote / Online - Candidates ideally in
Abu Dhabi, UAE/Dubai
Listing for: Nexthire
Remote/Work from Home position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Algotale - Delphi (Senior Consultant - Data Engineer)

About Algotale

At Algotale
, we believe in the transformative potential of data to reshape industries, drive innovation, and create value. Established in 2020 by a team of professionals, Algotale redefines IT services and consulting by integrating a data-centric approach into every solution.

With a team of over 500 skilled professionals, we specialize in IT services, staffing, and consulting, empowering clients to unlock the full potential of their data. Our expertise spans data analytics, artificial intelligence, machine learning, and cloud solutions to help organizations build resilient digital infrastructures and achieve growth.

We are committed to pushing boundaries, embracing new challenges, and exceeding client expectations. We forge partnerships built on trust, insight, and a shared drive to thrive in a data‑driven world.

Website:
Industry: IT Services and Consulting
Company Size: 501–1,000 employees
Founded: 2020
Specialties: IT Services, IT Staffing, IT Consulting

About the Role

Role: Senior Consultant – Data Engineering (Epic)

Location: Abu Dhabi (Onsite)

Experience: 5+ 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 focuses on designing Fabric Lake houses, 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 analytics.

What

You’ll Do
  • 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 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:
    • Lakehouse
    • Fabric Data Factory
    • One Lake
  • 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

We are dedicated to creating an environment where you can thrive, both professionally and personally. Our compensation package, incentives, and health benefits are designed to support you. We offer company-sponsored certifications, training programs, and skill-building opportunities. We foster an inclusive culture with remote work options and a fully supported work-from-home setup, along with team activities and wellness programs.

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Position Requirements
10+ Years work experience
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