Senior Test Automation Engineer (Data)

Sanderson
Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
Today
£60,000 – £72,000 pa

Salary

£60,000 – £72,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Today)
Share
Save job
Create job alert
Senior Test Automation Engineer (Data Platform)Overview

We're looking for aSenior Test Automation Engineer to join a growing data-focused engineering capability, working within a newly formed agile squad. This is a senior individual contributor role, offering technical ownership and influence across engineering practices, without direct line management responsibilities.

Key Responsibilities
  • Design, develop, and maintain robusttest automation solutions, primarily using Python
  • Contribute todata pipeline and ETL testing strategies, ensuring high data quality and reliability
  • Work within anagile squad, collaborating closely with engineers, analysts, and stakeholders
  • Advocate for and implementnon-functional testing (e.g. performance, scalability), promoting a shift-left approach
  • Support and mentor junior engineers, providing technical guidance across squads
  • Contribute toCI/CD pipelines, improving automation integration and delivery efficiency
  • Engage with senior stakeholders, influencing technical decisions and best practices
  • Assist in evolving legacy automation frameworks toward modern solutions
Required Skills & Experience
  • StrongPython engineering experience, specifically for test automation
  • Solid background inJava development
  • Experience working withCI/CD pipelines (Azure preferred)
  • Hands-on experience withETL processes and data workflows
  • Cloud platform experience (Azure, GCP, or AWS)
  • Proven experience innon-functional testing, including performance testing (e.g. JMeter or similar tools)
  • Experience working inagile delivery environments
  • Ability tomentor and support junior team members
  • Excellentstakeholder engagement and influencing skills
Desirable Experience
  • Experience withAzure or GCP (preferred over AWS)
  • Exposure todata pipeline development
  • Familiarity withSelenium (legacy frameworks)
  • Experience withBDD tools such as Cucumber
  • Experience working withdistributed teams (e.g. UK/India collaboration)
  • Previous experience coaching or mentoring engineers

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason,please let us know when you apply or talk to the recruiters directly so we can support you.

Related Jobs

View all jobs

Senior Front-end Software Engineer ( React, Bazel And Java )

TEKsystems London, United Kingdom
£40,000 – £60,000 pa On-site

Test Engineer (SFIA 4) SC / Newcastle #0023

Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£59,000 pa Hybrid Clearance Required

Test Engineer

Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£1 pa Hybrid Clearance Required

Staff Quality Engineer

Matillion Manchester, United Kingdom
£40,000 – £70,000 pa Hybrid

Data Engineer

Vermelo RPO Salford, United Kingdom
£40,000 – £60,000 pa Remote

Senior Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Reading, Berkshire, United Kingdom
£85 – £90 ph

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 Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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 Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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.

🍪 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.