Senior Data Engineer

SENIOR DATA ENGINEER £90-£120K LONDON This is an opportunity to join a high-growth applied data and machine learning team focused on tangible commercial impact. You will work on varied, high-visibility projects where your work directly influences business performance and value creation. THE COMPANY Our Client is a specialist technology firm operating within the investment and private equity ecosystem. The business partners closely with leading investment firms and their portfolio companies to deliver post-deal value through data and AI.

Following recent investment, they are in a strong growth phase with a clear focus on collaboration and pragmatism

THE ROLE Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives. Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value. Design, build and deploy machine learning solutions across use cases such as pricing, sales optimisation and fraud reduction. Take ownership of projects end to end, from discovery and modelling through to deployment and scaling.

Balance technical sophistication with practicality, selecting the right approach to maximise impact. Contribute to best practice across applied data science, engineering and delivery. YOUR SKILLS AND EXPERIENCE Strong experience delivering data science or machine learning solutions in production environments. Proven capability deploying and scaling models using appropriate engineering and MLOps practices. Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure.

Familiarity with modern tooling such as Databricks, version control and containerisation. Strong commercial awareness, with the ability to articulate impact in business terms. Confident communication skills and experience working in client-facing or stakeholder-heavy environments. SALARY AND BENEFITS £90-£120k Base salary 10% bonus 7% Pension

HOW TO APPLY

Please register your interest by sending your CV to Nihal Singh through the 'Apply' link