Senior Automation Tester (Digital Delivery)

Newport
1 year ago
Applications closed

Related Jobs

View all jobs

Senior DataOps Engineer

Senior Data Scientist | Digital Services

Data Lead - Artificial Intelligence & Automation (12 Month Fixed-Term Contract)

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Senior Data Scientist

Senior Data Scientist

Role: Senior Automation Tester (Digital Delivery)

Location: Newport (x4 a month)

Salary: Up to £57,000

About the Organization:

This modern organization thrives on leveraging cutting-edge IT services to drive innovation and operational efficiency. Serving both national and international customers, the team develops, improves, and maintains systems to deliver state-of-the-art solutions. Employees work on pioneering technologies such as cloud computing, artificial intelligence (AI), and machine learning (ML), collaborating with experts across diverse domains. This is an opportunity to make impactful contributions while maintaining high-quality standards.

Role Overview:

As a Senior Test Engineer, you will be part of a multi-disciplinary squad focused on delivering enterprise-grade services, particularly with a focus on Power BI and data testing. You will work on innovative projects using modern delivery processes and technologies while being accountable for squad deliverables. The role involves diagnosing and resolving data processing issues, contributing to the technical strategy, and ensuring the delivery of robust IT services.

This role is ideal for individuals passionate about learning new technologies and methodologies. You will also have the chance to extend your skills beyond the core role and explore other technical domains.

Key Responsibilities:

Collaborate with multi-disciplinary teams to design, test, and deliver high-quality IT services.
Take ownership of assigned deliverables, ensuring timely and effective delivery.
Investigate, diagnose, and resolve system issues, particularly in data processing.
Develop and document test strategies, approaches, and procedures.
Contribute to the technical strategy for the department, ensuring alignment with organizational goals.
Work with cloud technologies, focusing on enterprise-grade solutions with Power BI.
Support Agile delivery methods and integrate modern practices into the team's workflow.

Person Specification:

Proven experience contributing to the successful delivery of large-scale technical projects.
Hands-on experience with cloud technologies, particularly Azure.
Proficiency in data modelling and test documentation.
Expertise in testing front-end and back-end web services.
Experience with Agile delivery methodologies.
Working knowledge of Azure DevOps.

Technical Skills:

Experience with automation tools such as MS Visual Studio with C#, Selenium, BDD, SpecFlow, MSTest, RestSharp, and JavaScript.
Familiarity with non-functional testing tools like JMeter and Azure Load Test.
Proficiency in GitHub for version control and collaboration.
Strong understanding of architectural principles and design patterns.
Skilled in writing SQL queries to interact with databases.

Think this one's for you

If you think this Senior Test Engineer opportunity is for you then please apply online.

Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs.

Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.