Strong experience in Data Engineering, including building and deploying data-driven solutions in production;
Proficiency in Python and common data libraries for analysis, modelling, and data processing;
Hands-on experience with machine learning techniques, statistical modelling, and data analysis;
Solid knowledge of SQL and working with relational databases;
Good understanding of data pipelines, data preprocessing, and feature engineering;
Curiosity and openness to working in AI-assisted development environments, including experimenting with agentic coding tools and AI-driven workflows to improve productivity and quality;
Strong problem-solving skills and ability to work effectively in cross-functional teams. - Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer. ### You should apply if you are:
Self-motivated, proactive, and always looking for ways to improve and develop yourself;
A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
Detail-oriented;
Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
Used to working in a team-oriented, collaborative environment;
Analytical and problem-solving-oriented;
A genuine believer in diversity and fairness. ### Benefits you’ll receive:
Company Private Health care
Enhanced fully paid maternity and paternity leave for up to 6 months
Enhanced pension scheme
25 days annual holiday (excluding Public Holidays)
£2000 annual learning and development budget for training courses and conferences
£300 annual allowance for additional hardware
Wellbeing & Performance Support via Oli including Therapy and Coaching
Discretionary Bonus (depending on Company performance and results)
Generous referral schemes
Our typical recruitment process:
1st Interview with a Talent Partner (30-45 minutes)
Technical Interview with our Senior Developers (90 minutes)
