Full Stack Engineer

Full Stack Engineer (Web & Data) | Hybrid / London | £45,000 – £55,000

A growing digital consultancy is seeking a Full Stack Engineer to work across modern web applications and data-driven platforms, delivering end-to-end solutions for a range of clients and industries.

You’ll join a collaborative Digital Solutions team working at the intersection of web development, data engineering, and analytics. This is a hands‑on role where you’ll design, build, and maintain user‑facing applications alongside scalable back‑end services and robust data pipelines, primarily using React, Next.js, and Python.

This role is ideal for an early‑career engineer who enjoys variety, learning new technologies, and working across the full technology stack in a hybrid cloud environment.

• Design, build, and maintain full-stack web applications using React and Next.js
• Develop back‑end services, APIs, and data integrations using Python and SQL
• Take ownership of existing web and data applications, ensuring reliability, performance, and continuous improvement
• Build and optimise data pipelines and ETL/ELT processes to support analytics and AI-driven solutions
• Work with relational and non‑relational databases, data warehouses, and data lakes
• Deploy and support applications across AWS and Azure environments
• Collaborate with consultants, data scientists, analysts, and clients to translate business requirements into technical solutions
• Contribute to CI/CD pipelines, version control, and automated deployment processes
• Document system architecture, data flows, and technical designs
• Support project scoping, estimation, and proof‑of‑concept development

• 1–2 years’ experience in a full‑stack engineering, web development, or data engineering role
• Strong hands‑on experience with Python and SQL
• Commercial experience building front‑end applications with React and Next.js
• Solid understanding of back‑end development, API design, and database interactions
• Experience working with data pipelines, transformations, and orchestration tools
• Familiarity with cloud platforms such as AWS and/or Azure
• Experience using Git and CI/CD workflows
• Strong problem‑solving skills with the ability to debug and support production systems
• Clear communication skills and a proactive, self‑motivated approach to work

• Experience with Word Press or PHP-based applications
• Exposure to analytics tools such as Power BI or dbt
• Knowledge of web scraping or Streamlit
• Basic understanding of machine learning or AI integrations
• Familiarity with Agile development practices