AI Data Engineer - Michael Page

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

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.

• 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

• 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, Fact Set, or Aladdin.

• 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

Manpreet Kaur

Reference: JN‑102025‑6860731

Mid‑Senior level

Full‑time

Information Technology

Software Development