- 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.
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
Quote job ref
JN-102025-6860731
