AI Data Engineer

Michael Page; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading recruitment firm in Dubai seeks a skilled data engineer to lead Azure data innovations in investment analytics. The role requires over 5 years of experience in cloud-native data engineering, particularly in finance. Ideal candidates should excel in using Azure Data Factory, SQL, and build AI/ML pipelines for investment insights. Join a collaborative team and engage in impactful AI projects, with a competitive salary offered.

Benefits

Competitive salary and benefits

Access to stakeholders

Work on high-impact AI projects

Qualifications

• 5 years in cloud-native data engineering, ideally in finance.
• Hands-on experience with LLMs and Generative AI.
• Skilled in RAG pipelines and vector databases.

Responsibilities

• Lead Azure-powered data innovation in investment analytics and AI.
• Architect and scale data pipelines using Azure services.
• Collaborate with investment teams to leverage data strategically.

Skills

Azure data services

Power BI

Python

SQL

LLMs

Generative AI

CI / CD

RAG pipelines

Vector databases

Tools

Azure Data Factory

Databricks

FAISS

Pinecone

Job description

About Our Client

A forward-thinking organisation driving data‑led transformation in financial services. Known for its collaborative culture and commitment to innovation, the company empowers teams to deliver impactful solutions in investment management.

Job Description

• Lead Azure‑powered data innovation in investment analytics and AI.
• 5 years in cloud‑native data engineering, ideally in finance.
• Architect and scale data pipelines using Azure Data Factory, Synapse, and Databricks
• Build AI / ML pipelines that power investment insights and automation tools
• Engineer seamless data flows from trading systems, market feeds, and financial platforms
• Design smart data models for analytics, risk, and compliance reporting
• Collaborate with investment teams to turn data into strategic advantage
• Drive performance, security, and cost‑efficiency across cloud data systems
• Champion data governance with robust documentation and access controls

The Successful Applicant

• Strong expertise in Azure data services and Power BI
• Hands‑on experience with LLMs and Generative AI (OpenAI, LLaMA)
• Skilled in RAG pipelines and vector databases (e.g., FAISS, Pinecone)
• Proficient in Python, SQL, and familiar with PySpark or Scala
• Experience with CI / CD and orchestration tools for data workflows
• Exposure to investment platforms like Bloomberg, FactSet, or Aladdin.

What's on Offer

• Work on high‑impact AI and data projects in the investment domain
• Join a collaborative, fast‑paced team with direct access to stakeholders
• Competitive salary and benefits package

Contact

Manpreet Kaur

JN-102025-6860731