Senior QA Automation Engineer

Kingsland, Greater London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Aerospace

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer

Senior Business Intelligence Manager

Ready to take the lead in back-end QA engineering?

This is your opportunity to step into a Senior QA Automation Engineer role where your passion for API testing, performance validation, and backend automation is truly valued.

Join a collaborative, fast-moving team that’s shaping the future of retail tech—partnering with high-profile global brands to deliver seamless customer experiences at scale.

Their platform powers clienteling, POS, and customer success—all in one. And it’s their clients’ real-world use cases that drive the roadmap, ensuring the tech evolves to meet real needs.

Role: Senior QA Automation Engineer (Backend/API Focus)
Salary: Up to £75,000
Benefits: 25 days holiday + BH, Company Bonus, Private Healthcare, Share Options, every other Friday off (compressed working)
Location: Remote-first – occasional meetups in London HQ / 9-day fortnight

What You’ll Bring

Deep experience in API and backend test automation
Proficiency in Python or JavaScript, with strong scripting and automation capability
Hands-on with tools like Postman, PyTest, Locust, K6, or similar for load, performance & functional testing
Solid understanding of CI/CD pipelines using GitHub Actions, Azure DevOps, etc.
Comfortable working with NoSQL databases and validating backend data integrity
Skilled in test strategy, debugging, and collaborating closely with backend developers
Bonus: exposure to mobile or front-end testing with Appium or Selenium DevOps, GitHub Actions
Familiarity with NoSQL databases
Excellent problem-solving and communication skills  
We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age.

We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.