Integration & Data Engineer

1 week ago

Abu Dhabi, Abu Dhabi, United Arab Emirates Delphi Consulting Middle East Full time

At
Delphi Consulting Pvt. Ltd.
, we foster a thriving environment with a
hybrid work model
that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our
digital-first mindset
. We specialize in
Data, Advanced Analytics, AI, Infrastructure, Cloud Security
, and
Application Modernization
, delivering impactful solutions that drive smarter, efficient futures for our clients.

About the Role:
The Integration and Data Engineer acts as the bridge between the hospital's core systems and its AI-driven future. You will design and manage the data pipelines that fuel our AI models. This involves using Rhapsody and BizTalk to feed real-time clinical events into AI inference engines, and leveraging Microsoft Fabric to curate high-quality training datasets from Epic Clarity. You will work side-by-side with AI Engineers to develop, deploy, and monitor predictive models and GenAI applications.

What you'll do:

1. AI & Machine Learning Data Support

  • Partner with AI Engineers to perform
    feature engineering
    , identifying, extracting, and transforming clinical and non-clinical data from
    Epic and downstream systems
    for ML readiness.
  • Support implementation and maintenance of
    Vector Databases in Microsoft Fabric
    to enable
    Retrieval-Augmented Generation (RAG)
    for clinical and enterprise LLM use cases.
  • Configure
    Rhapsody / BizTalk
    to trigger
    real-time AI model scoring
    based on HL7 events.
  • Design data pipelines to capture
    AI model outputs
    and integrate them into clinical workflows and monitoring dashboards for
    performance tracking and governance
    .

2. Advanced Integration & Interoperability

  • Build and maintain
    high-velocity, real-time interfaces
    using
    Rhapsody and BizTalk
    to support AI monitoring and telemetry-driven use cases.
  • Map and normalize
    legacy and heterogeneous data formats
    into standardized, AI-ready schemas to ensure data quality, consistency, and interoperability.

3. Data Engineering & Microsoft Fabric Ecosystem

  • Design and optimize
    Microsoft Fabric Lakehouse architectures
    tailored for AI training, experimentation, and historical analysis.
  • Perform advanced
    Epic Clarity data extraction
    to create longitudinal patient datasets for
    retrospective AI model validation
    .
  • Automate end-to-end pipelines using
    Fabric Data Factory
    to refresh AI training datasets and mitigate
    data drift
    .

What you'll bring:

5+ years in Integration/Data Engineering, with at least 1-2 years supporting Data Science or AI workstreams.

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