Test Automation Engineer - 12 month FTC

Brighton
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Test Automation Engineer
Location: Hybrid / Brighton (1-2 days a week in Brighton)
Salary: £55,000 - £65,000 (plus bonus, Excellent Pension and Employee Benefits)
12 month Fixed Term Contract

Skills: Playwright or ReqnRoll / Specflow, Selenium, TDD, SQL Server, C#.Net, Automated Testing

Join a busy and successful Test Team, working alongside Agile Dev Teams to deliver on a range of important projects. Our Client is a high profile Government body that provides essential services to protect peoples savings in the UK. If you are an experienced Automation Tester who can prioritise and a natural problem solver with a 'can-do' approach please get in touch!

Responsibilities

Lead and peer-review the work of other test team members. Lead on investigative work into problems and opportunities in existing processes.
Input into the test strategy team and advise on automation testing with recommendations for improvement
From scratch, develop the product and development teams' approach to testing - e.g. a framework for test driven development
Design and develop automated test scripts with a focus on SQL-based data validation, ensuring the accuracy of data flows and transformation.
Integrate automated tests into CI/CD pipelines.
Be the person on-point and overall responsible for the automation testing delivery within the Platform team.
Demonstrate knowledge of emerging tools and techniques.
Effectively work across different tools and software languages.Essential

5+ years automation and manual testing experience of web-based applications.
Playwright and ReqnRoll / Specflow knowledge and experience
Experienced in C#.Net and SQL Server.
Experience crafting automation tests and demonstrating test frameworks and pipelines, collaborating in any of the following: RESTful services, Message Queues, Relational Databases.
Experience of SQL scripting and proven capability of writing sophisticated queries to analyse problems, and interrogate data pipelines
Experience a range of testing methodologies and techniques including agile, with the ability to write test procedures, plans and report development/implementation

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.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.