Data Engineer

As a Data & AI Engineer, you’ll sit between the junior and senior engineering levels, taking ownership of defined components of the platform while contributing to how those solutions are designed and delivered.

A key part of the role will be being able to understand and explain AI clearly. You’ll work closely with technical and non-technical colleagues, helping them understand how AI-generated assessments work, where they can be trusted, and where their limitations sit.

There will also be occasional supported client exposure, giving you the opportunity to see first-hand how the technology you build is being used.

What You’ll Be Doing

• Own and develop components of AI-assisted assessment pipelines
• Work across prompt design, quality assurance, evaluation, and citation checking
• Build and maintain data ingestion pipelines and models using Python and PostgreSQL
• Run evaluations of pipeline performance and use the results to improve outputs
• Work with company, issuer, and portfolio data at scale
• Contribute to the continued development of the company’s AI methodology

Technical Ownership & Quality

• Own engineering work end-to-end, from development through testing and deployment
• Monitor and troubleshoot pipelines to ensure reliability and accuracy
• Maintain clear technical documentation
• Review work from more junior engineers and help raise engineering standards
• Contribute to technical decisions around how new functionality should be built

Communication & Stakeholder Impact

• Explain AI methodologies and outputs clearly to non-technical colleagues
• Help consultants understand what AI-generated assessments can and cannot tell them
• Occasionally support senior colleagues in explaining technical concepts to clients
• Translate complex technical concepts into clear, practical explanations

This is an excellent opportunity for an engineer with around 2-3 years’ experience who wants to work at the intersection of Python, data engineering and applied AI, with genuine ownership and exposure to how AI is used in a real-world product., * Around 2-3 years’ professional experience in software or data engineering

• Hands-on experience building applications or workflows using LLM APIs
• Experience with prompt design and some form of AI/LLM evaluation
• Strong SQL skills and understanding of relational data modelling
• Ability to explain how language models work, including their limitations, to non-technical audiences
• Experience owning work end-to-end, including testing, deployment, monitoring, and documentation
• Comfortable working in a small business where requirements and scope aren’t always fully defined
• Cloud experience, ideally Microsoft Azure
• Experience with document processing or information extraction at scale
• Financial services, investment management, or sustainability experience
• Experience presenting technical work to non-technical stakeholders

• £60,000 - £67,000 salary + discretionary bonus
• Hybrid working (1-2 days per week in London)
• Genuine ownership of AI and data engineering projects
• Work on AI that is central to a live product rather than experimental
• Hands-on experience across Python, PostgreSQL, LLMs and data pipelines
• Opportunity to work closely with both technical and non-technical stakeholders
• Occasional exposure to institutional clients in a supported capacity
• Clear progression path towards a senior engineering position
• Join a small, collaborative team where your work has a direct impact