Full Stack Engineer (Python) - 6-Month Contract (Inside IR35) - London - Office Based

We are seeking an experienced Full Stack Engineer with strong Python expertise to join a specialist engineering team delivering data-driven applications for a large-scale enterprise programme. This role is hands-on and delivery-focused, building Python-based web applications and analytics tools used by operational and engineering teams.

The successful candidate will be comfortable working across Back End services, Python-driven UIs, and cloud-based platforms, with the ability to collaborate closely with data scientists and stakeholders to turn complex requirements into robust engineering solutions., * Design, build, and maintain Python-based web applications using frameworks such as Dash and/or Streamlit.

• Develop scalable Back End services using modern Python engineering practices.
• Build and maintain data-driven applications integrating with data platforms and analytics pipelines.
• Work with cloud and on-premise environments, primarily within Azure-based architectures.
• Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, and containerisation with Docker.
• Collaborate closely with cross-functional teams including data science, operations, and engineering stakeholders.
• Participate in code reviews, uphold coding standards, and contribute to improving engineering quality.
• Support deployment, monitoring, and ongoing optimisation of production applications.

• Proven experience building Dash and/or Streamlit applications in production environments.
• Solid Back End experience with Python frameworks (FastAPI, Flask, Django or similar).
• Experience working with data platforms, data lakes, or analytics-focused systems.
• Good understanding of CI/CD, containerisation (Docker), and version control (GitHub).
• Cloud experience, ideally Microsoft Azure.
• Ability to operate effectively in fast-paced, evolving environments.
• Strong communication skills and the ability to work collaboratively with technical and non-technical stakeholders.
• Experience with Databricks, Delta Lake, or Kubernetes (desirable).