Data Engineer -Azure Foundry

Dubai, United Arab Emirates | Posted on 05/12/2026

Accelerate the adoption of Microsoft AI Foundry across Bahriby rapidly converting approved demand and enterprise architecture (EA) blueprint opportunities into working, value-driven AI use cases.

The role acts as a hands‑on bridge between Enterprise Architecture, Data & Analytics and business demand, delivering practical AI solutions using Microsoft Fabric, Azure AI Foundry and existing Bahri data assets, while enabling sustainable in‑house capability.

Key Responsibilities

Use Case Acceleration & Delivery

• Rapidly design and implement AI use cases sourced from:
  • The approved demand intake channel
  • Translate high‑level business problems into deployable AI Foundry solutions (MVP to pilot to scale)

Microsoft AI Foundry & Fabric Enablement

• Build and deploy AI applications using Microsoft AI Foundry, including:
  • Agents, copilots, and AI workflows
  • Model catalog and Azure OpenAI models
  • Develop Retrieval‑Augmented Generation (RAG) patterns grounded in:
    • OneLake / Microsoft Fabric
    • SharePoint and enterprise data sources
• Implement fit‑for‑purpose ML and analytics models (forecasting, classification, anomaly detection) using Azure ML and/or Fabric
• Integrate analytical outputs into AI agents and business workflows
• Work closely with:
  • Enterprise Architecture to ensure alignment with target‑state architectures
  • Data teams to reuse certified datasets, semantic models, and pipelines
• Follow EA guardrails while prioritizing speed and reuse over bespoke solutions
• Apply pragmatic MLOps and AI governance practices aligned with Bahri standards
• Evaluate AI solutions using AI Foundry evaluation tools (groundedness, relevance, safety)
• Ensure documentation of:
  • Use case objectives
  • Deployment approach and limitations
• Work alongside BI analysts, data engineers, and product owners
• Enable internal teams by sharing reusable patterns, templates, and reference implementations

Requirements

Required Qualifications

• Strong Python skills for data analysis and AI development
• Hands‑on experience with Microsoft Azure AI services, preferably:
  • Microsoft Fabric
• Experience building RAG‑based applications
• Solid understanding of analytics, data modeling, and applied machine learning
• Ability to operate in ambiguous environments and deliver rapidly

Preferred Qualifications

• Prior experience accelerating AI or analytics use cases in large enterprises
• Familiarity with EA or target architecture models
• Experience with Dataiku DSS (nice‑to‑have, not mandatory)
• Exposure to agent frameworks (Semantic Kernel, LangChain)
• Experience in logistics, shipping, or asset‑intensive industries
• Azure AI Engineer certification (preferred, not essential)