Data / Software Engineer (Mid-level)

The role involves building the data infrastructure, pipelines, automations, and internal tools that support our work. This is a flexible technical role where you might be building a data pipeline one week, improving a transformation process the next, helping prototype an internal product, or supporting colleagues to use new AI-enabled tools. The role will evolve as we roll out new capabilities across the business.

We are looking for someone comfortable working across different parts of the stack, learns quickly, and enjoys building practical systems that make teams more effective. AI tools are now a central part of how the team builds, and you will be expected to use them confidently for code, data work, documentation, and to help us decide which workflows to automate next. The scope of the role will change as we integrate and roll out new AI capabilities; comfort with that shifting picture matters more than mastery of any single tool today.

What you will be responsible for:

• Building and maintaining reliable data pipelines using polling, economic, demographic, client, and proprietary datasets.
• Designing and implementing data transformations, automations, and workflows that improve the speed and quality of our work.
• Supporting the development of internal tools, apps, and products used by consultants, analysts, and clients.
• Working with data scientists, consultants, and senior technical colleagues to turn analytical needs into robust technical solutions and simple front-ends.
• Improving how data is stored, processed, documented, and accessed across the business.
• Using Python, SQL, modern data libraries, and AI-enabled development tools to build faster and more effectively.
• Supporting colleagues in using internal tools, data systems, and AI workflows.
• Contributing to good engineering practices, including testing, documentation, version control, and maintainable code.

What we are looking for in an ideal candidate:

• Around three years’ experience in a data engineering, software engineering, analytics engineering, research engineering, or similar technical role.
• Strong Python skills and experience with modern data libraries.
• Good SQL skills and experience working with relational or analytical databases.
• Experience building pipelines, transformations, automations, APIs, or internal tools.
• Comfort working across different technical tasks rather than being restricted to one narrow specialism.
• Ability to write clean, maintainable code and document technical work clearly.
• Interest in using AI tools to accelerate development, improve workflows, and roll out new capabilities.
• Experience with polling, survey, economic, demographic, or political data would be useful, but is not essential.

Person Profile:

We are looking for someone who is curious, adaptable, and motivated by the opportunity to use data and technology to solve real-world problems. You should be excited by the current pace of change in AI and data, and interested in helping us apply new capabilities in practical, valuable ways. You do not need to know every tool already, but you should be comfortable learning quickly, experimenting carefully, and applying new techniques to live work. You should enjoy working on a mix of projects, from client-facing analysis to internal tools, pipelines, models, and automations. The right person will be comfortable with some ambiguity and will be able to move between technical detail and practical delivery. You should be a strong problem-solver, with the creativity to find better ways of doing things and the discipline to deliver reliable work under pressure. You should be able to explain complex technical ideas in simple, clear language to colleagues and clients who may not have a technical background. You should care about quality, accuracy, and clarity, especially when working with data that informs strategic decisions. You should be collaborative, pragmatic, and willing to support colleagues as new tools and workflows are adopted across the business. Above all, we are looking for someone who wants to help deliver change for clients and for the business: someone who can combine technical skill, judgement, and curiosity to build better ways of working.

Salary and Benefits:

• Salaries are competitive and subject to experience.
• 25 days annual holiday with additional office closure days.
• A discretionary annual bonus (potential of 15% of annual salary), based on personal and business performance.
• Enhanced company pension contribution of 5% of annual salary.
• Private healthcare cover, inclusive of dental and optical.
• An enhanced family leave package.
• Bike and electric vehicle salary sacrifice schemes.
• An employee assistance programme with 24/7 access to online, phone, or face-to-face counselling.
• Based in Central London, close to several public transport links, with bike storage and showers on site for cyclists.
• Encouragement of a mix of home and office-based working.

Application:

Please submit a cover letter and CV using the application form below by midnight on 05 June 2026. We typically have a two-stage interview process and a technical test as part of one of the rounds. Stonehaven is proud to be an equal opportunity employer. We are committed to equal opportunity and equal pay regardless of background, including race, religion, sex, national origin, sexual orientation, disability, or gender identity. If you require any reasonable adjustments to participate in this recruitment process, please get in touch. Please only apply if you have the right to work in the UK.