Software Engineer, Data Engineer, AI Engineer

Software Engineer - Cloud & Data Solutions (Python, GCP, API)

Location: Remote (UK-based)Salary: £60,000-£70,000 DOE + Share OptionsType: Full-time

About the Role

I am delighted to once again be supporting my Midlands based client who are building a cutting-edge platform that processes large-scale, continuous data streams in the cloud and transforms them into actionable insights for clients.

This is your chance to join a fast-growing tech environment where your work will directly influence how complex data is interpreted and delivered in real time.

You'll be part of a team creating scalable solutions that handle massive datasets, improve user interfaces, and ensure robust security-all while pushing the boundaries of cloud-based analytics.

The role is offered as 100% remote, but must be in the UK with a driving licence and car

What you'll do as the Software Engineer:

• Build & Scale: Develop scalable cloud implementations of advanced algorithms on Google Cloud Platform.
• Innovate: Enhance data processing and compression methods for efficiency.
• Improve UX: Elevate our web-based interface for real-time data insights, integrating new features and products.
• Secure & Test: Implement rigorous web security protocols and validate algorithms against test datasets.
• Collaborate: Work closely with engineers and data specialists to deliver solutions that scale across multiple assets and users.

What my client are looking for in their next Software Engineer:

You're a problem solver who thrives in a fast-moving environment. Ideally, you have:

• Cloud Expertise: Proven ability to design and implement cloud analytics solutions (Google Big Query preferred) in a commercial setting.
• Python Mastery: Strong track record of building production-grade applications using Python.
• Data Science Skills: Hands-on experience with scientific computing and managing large datasets in real-world projects.
• Security Awareness: Demonstrable knowledge of web security protocols and user management.
• Adaptability: Ability to assess and integrate new technologies quickly.
• Soft Skills: Excellent communication, teamwork, and a proactive approach to learning.

Bonus points for: Creativity, curiosity, and a passion for building technology that makes a real-world difference.

Experience & Qualifications

• Proven commercial experience delivering cloud-based solutions.
• Demonstrated success in Python development for production environments.
• Practical experience applying data science techniques to large datasets.
• Full right to work in UK without sponsorship for over 3 years

Benefits:

• Competitive salary (£60k-£70,000 DOE).
• Share options in a fast-growing tech company.
• 25 days annual leave + public holidays (flexible).
• Remote-first culture with occasional travel.
• Life insurance policy.
• Opportunity to work on groundbreaking technology that solves complex challenges.

If you meet these requirements then please apply with an up-to-date CV

Studies suggest that women tend not to apply for a job if their CV isn't a perfect fit. Here, talent takes precedence over experience. So, if you like the role and think you could be awesome at it in time, go ahead and apply.