Job Description

  • Lead Azure-powered data innovation in investment analytics and AI.
  • 5 years in cloud-native data engineering, ideally in finance.

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

  • 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.

Whats 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

Quote job ref: JN-102025-6860731


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: United Arab Emirates City: Dubai
Company Website: https://redirect.michaelpage.com/mp-home Job Function: Information Technology (IT)
Company Industry/
Sector:
Staffing and Recruiting

What We Offer


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