Overview
We have a current opportunity for a Integration Data Engineer on a contract basis. The position will be based in dubai. For further information about this position please apply.
Job Title:
Integration & Data Engineer
Experience Level: 5+ years in Integration/Data Engineering, with at least 1-2 years supporting Data Science or AI work streams.
This role is a hybrid position that bridges the gap between real-time interoperability (Integration) and strategic analytical infrastructure (Data Engineering).
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 Biz Talk 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.
Key Responsibilities- Feature Engineering:
Collaborate with AI Engineers to identify, extract, and transform clinical & non-clinical variables (features) from Epic and other systems into formats ready for machine learning. - Vector Database Management:
Support the implementation of Vector stores within Microsoft Fabric to enable Retrieval-Augmented Generation (RAG) for clinical & non-clinical LLMs. - Real-time AI Triggers:
Configure Rhapsody / Biz Talk to trigger AI model scoring based on specific HL7 events. - Model Monitoring Data:
Build pipelines to capture AI model outputs and feed them back into clinical & non-clinical workflows or monitoring dashboards for performance tracking.
- High-Velocity Streams:
Develop and maintain real-time interfaces via Rhapsody and Biz Talk that handle high-volume telemetry and data for real-time AI monitoring. - Standardization for AI:
Map diverse legacy data formats to standardized formats to ensure AI models receive clean and interoperable data.
- Fabric Lakehouse Design:
Build and optimize in Microsoft Fabric specifically optimized for AI training and historical analysis. - Epic Clarity Data Mining:
Perform advanced data extraction from Clarity to build longitudinal patient records used for retrospective AI model validation. - Pipeline Automation:
Use Fabric Data Factory to automate the refreshing of AI training sets, ensuring models do not suffer from data drift.
If you are interested or available please apply here or send me your updated CV with your availability, expected salary and contact details to discuss further.
If you are not inetersted please share with anyone who may be suitable for the role.
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