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Senior Data Engineer - Investment Advisory Firm, London - eFinancialCareers

ZipRecruiter
London
5 days ago
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Overview

We are exclusively working with a leading investment advisory firm who are looking to strengthen their technology and analytics team with the addition of a Senior Data Engineer.

Our client is a well-established firm with a strong track record advising global investors across multiple strategies. The business is recognised for its innovative approach to investment solutions and its commitment to building world-class data-driven platforms to support decision-making. They employ a diverse, international team of professionals and pride themselves on fostering a culture of collaboration and innovation.

This role represents an exciting opportunity for a Senior Data Engineer to take ownership of key projects, deepen their expertise in applied machine learning and generative AI, and contribute directly to the buildout of a next-generation investment analytics platform.

The Role

Our client is seeking to hire a Senior Data Engineer to join their London-based team. The successful candidate will work closely with investment professionals to design, build, and optimise scalable data solutions, while also driving forward the firm’s adoption of GenAI and machine learning in production.

Responsibilities
  • Design and build scalable, cloud-based data solutions to support investment analytics and products.
  • Develop and deploy production-grade Generative AI systems, including RAG pipelines, agentic workflows, and LLM-powered tools.
  • Support model development through feature engineering, experimentation, and performance monitoring.
  • Play a leading role in setting technical direction for the data and AI stack, sharing knowledge and mentoring colleagues.
  • Automate robust data pipelines for financial datasets, ratings, and forecasts.
  • Collaborate with investment teams to translate complex data into actionable insights.
  • Re-engineer existing workflows to enhance resilience, scalability, and performance.
  • Maintain clear, accessible technical documentation.
Requirements
  • Strong programming skills in Python (Pandas) and SQL (Postgres).
  • Hands-on cloud experience (AWS, though GCP/Azure also considered).
  • Proven track record deploying Generative AI systems into production.
  • 3+ years of experience building and deploying machine learning models (regression, classification, time-series, etc.) in production environments.
  • Excellent communication skills with the ability to explain complex technical concepts to non-specialists.
  • Self-motivated and comfortable working in a small, fast-paced team.
  • Strong interest in applying data and technology to solve investment challenges.

This role does not sponsor and candidates must have the right to work in the UK.

To apply please send a copy of your cv to


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