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Senior Data Engineer (AI Foundry)
Aventra Group
Dubai, UAE
Full Time
Senior
Onsite
1 months ago
PythonMicrosoft Azure AIAzure AI FoundryAzure OpenAIMicrosoft FabricRAG (Retrieval Augmented Generation)
Free
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PythonMicrosoft Azure AIAzure AI Foundry
About the Role
Aventra Group is hiring a Senior Data Engineer for their AI Foundry Team in Dubai. The role involves designing scalable data pipelines, building AI applications using Microsoft AI Foundry, and implementing ML models.
Key Skills for This Role
PythonMicrosoft Azure AIAzure AI FoundryAzure OpenAIMicrosoft FabricRAG (Retrieval Augmented Generation)
Responsibilities
- Rapidly design and implement AI use cases from approved demand intake and EA blueprint improvements
- Translate high level business problems into deployable AI Foundry solutions (MVP to pilot to scale)
- Build and deploy AI applications using Microsoft AI Foundry, including agents, copilots, and AI workflows
- 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 or Fabric
- Integrate analytical outputs into AI agents and business workflows
- Work closely with Enterprise Architecture and data teams to ensure alignment and reuse of certified datasets
- Apply pragmatic MLOps and AI governance practices aligned with client standards
- Evaluate AI solutions using AI Foundry evaluation tools (groundedness, relevance, safety)
- Document use case objectives, architecture patterns, deployment approach, and limitations
- Collaborate with BI analysts, data engineers, and product owners
- Enable internal teams by sharing reusable patterns, templates, and reference implementations
Requirements
- Strong Python skills for data analysis and AI development
- Hands on experience with Microsoft Azure AI services, preferably Azure AI Foundry, Azure OpenAI, or 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
Full Job Posting
Role Description
- This is a full time, on site position for a Senior Data Engineer in Aventra Group’s AI Foundry Team, based in Dubai.
- The Senior Data Engineer will design and implement scalable data engineering solutions, including data pipelines and ETL processes.
- The role involves managing and optimizing data warehouse architecture, developing and maintaining data models, and performing in depth data analysis.
- Collaborating with cross functional teams to support AI and analytics functions is a critical part of this role.
Use Case Acceleration & Delivery
- Rapidly design and implement AI use cases sourced from the approved demand intake channel and EA blueprint improvement opportunities.
- Translate high level business problems into deployable AI Foundry solutions (MVP → pilot → scale).
Microsoft AI Foundry & Fabric Enablement
- Build and deploy AI applications using Microsoft AI Foundry, including agents, copilots, and AI workflows.
- Develop Retrieval Augmented Generation (RAG) patterns grounded in OneLake / Microsoft Fabric, SharePoint, and enterprise data sources.
Analytics & Model Development
- 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.
Architecture & Data Alignment
- Work closely with Enterprise Architecture to ensure alignment with target state architectures.
- Work with data teams to reuse certified datasets, semantic models, and pipelines.
- Follow EA guardrails while prioritizing speed and reuse over bespoke solutions.
Operationalization & Governance
- Apply pragmatic MLOps and AI governance practices aligned with client standards.
- Evaluate AI solutions using AI Foundry evaluation tools (groundedness, relevance, safety).
- Ensure documentation of use case objectives, architecture patterns, deployment approach, and limitations.
Collaboration & Enablement
- Work alongside BI analysts, data engineers, and product owners.
- Enable internal teams by sharing reusable patterns, templates, and reference implementations.
Required Qualifications
- Strong Python skills for data analysis and AI development.
- Hands on experience with Microsoft Azure AI services, preferably Azure AI Foundry / Azure AI Studio, Azure OpenAI, 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).
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