QA Automation Engineer

Ferndown

9 months ago

Applications closed

Related Jobs

View all jobs

Data Engineer (Talend & Oracle RDS) - SC Eligible

QA Automation Engineer, Ferndown, £45,000

As a QA Automation Engineer within this growing software company, you’ll play a pivotal role in contributing to high-impact projects through software testing, automation, and quality assurance.

Backgrounds & Benefits

Rubicon’s client is a leading provider within the SaaS market, processing billions of transactions yearly and trusted by major operators, delivering cutting-edge solutions that enhance efficiency and accessibility.

As a QA Automation Engineer, you’ll benefit from working within a collaborative and innovative environment, whilst receiving a competitive renumeration package, company-funded healthcare plan, 25 days annual leave (+ bank holidays), hybrid working, and opportunities for career development.

QA Automation Engineer Responsibilities

Develop and execute test plans, cases, and scripts for applications.
Perform manual and automated testing, including functional, regression, and integration testing.
Identify, document, and track bugs through to resolution.
Collaborate with developers and product teams in an Agile environment.
Contribute to continuous process improvements for software quality assurance.
Skills & Experience Required

Experience in QA methodologies, testing lifecycles, and defect tracking.
Proficiency in automated and manual testing for web and mobile applications.
Knowledge of API testing tools and web testing tools.
Familiarity with Agile/Scrum methodologies and issue tracking in JIRA.
Basic SQL skills for database validation.
Interested?

To be considered for this QA Automation Engineer opportunity or for more information, submit your CV to Josh at Rubicon by applying directly to this advert.

Our team reviews every application with complete confidentiality. We will never submit a candidate’s details or share them with a third party without first obtaining permission

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

Industry Insights

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

Feb 10, 2026

Careers

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Jan 23, 2026

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.