Full Stack Engineer II (Python)

London Source: WhatJobs

£45,000–£60,000

Develop and maintain internal tools: Build full stack applications that enable and streamline the delivery of insights and visualisations by Applied Data Scientists, using technologies like Python, React and AWS.
Collaborate with technical consultants: Work closely with consultants to understand project needs and translate them into scalable, user-friendly tools and interfaces.
Design intuitive UIs and tooling: Take ownership of designing and prototyping user interfaces and internal tools that enhance the workflow of Applied Data Scientists, ensuring usability and efficiency.
Integrate with data platforms: Design and implement backend services that interact with Snowflake, Looker and other data platforms to support dynamic, data-driven applications.
Contribute to infrastructure and deployment: Use Terraform and CI/CD pipelines to ensure reliable, maintainable and secure deployment of applications in cloud environments.
Continuously improve systems and practices: Participate in code reviews, share knowledge and help evolve engineering standards and best practices across the team.

What we are looking for:

1-2 years of experience as a full stack software engineer, or experience as a backend engineer and a willingness to learn front end
Experience interacting with end users to gain understanding of requirements
Solid understanding of cloud development concepts
Experience with git, CI/CD pipelines, and infrastructure as code tools
A user-focused mindset and good communication skills
A willingness to learn and contribute to both new feature development and system improvements
An understanding of data engineering, data science and Gen AI concepts is a plus
Experience with our tech stack is a bonus.

Culture

Culture that supports true collaboration whilst embracing remote working
Generous holiday allowance with the opportunity to buy additional holiday
Approach to personal development where we encourage individuals to grow and share what they’ve learned
Frequent social events, both within the department and across the company