Data Engineer -Azure Foundry

Aventra Group; Dubai; On-site; AED 167,400 - 279,000; Full time

Job summary

Aventra Group is looking for a skilled AI Solutions Specialist to join their Dubai team. You will be responsible for designing and implementing AI use cases, particularly using Microsoft Azure services including MS Fabric. The ideal candidate will bring strong Python skills and a solid understanding of analytics and machine learning. This role offers the chance to work in a dynamic environment where you'll enable teams by sharing reusable AI patterns. Familiarity with data frameworks is a plus.

Qualifications

• Strong Python skills for data analysis and AI development.
• Hands-on experience with Microsoft Azure AI services.
• Experience building RAG-based applications.

Responsibilities

• Rapidly design and implement AI use cases.
• Build and deploy AI applications using Microsoft AI Foundry.
• Integrate analytical outputs into AI agents and business workflows.

Skills

Python

Microsoft Azure AI services

Analytics and data modeling

Machine learning

Tools

Microsoft Fabric

Dataiku DSS

Job description

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)