Automation Test Engineer

Overview
We\\\’re recruiting an Automation Test Engineer for a leading software company that develops advanced solutions for trading and risk management across global financial and energy markets.

This is a hybrid role , requiring 2-3 days per week onsite in central London .

This position would suit someone who is technically strong in automation and testing, but also confident working directly with customers in a consultative environment , helping them validate and trust complex data-driven systems.

What you\\\’ll bring
We\\\’re looking for a bright, proactive, and personable Automation Test Engineer with experience across as many of the following areas as possible:

Core experience

Strong background in integration testing and API testing

Solid database and SQL knowledge , with the ability to validate complex data sets

Experience working with BDD frameworks such as Gherkin, Cucumber, or SpecFlow

Comfortable working as a self-starter , able to take ownership and drive testing activity

Confident communicating with customers and stakeholders, acting as a consultant alongside the company\\\’s product

deep C# or .NET development experience is not essential for this role.

Technical environment (exposure rather than tick-box)
You may have experience or familiarity with some of the following:

APIs & Web Technologies: RESTful APIs, HTTP, JSON

Test & Dev Tools: Git, CI/CD pipelines, Agile (Scrum / Kanban), JIRA

Operating Systems: Windows and/or Linux

Additional skills that will set you apart

Understanding of trading or financial data , allowing you to reason about the data you\\\’re testing

Experience testing high-volume, high-complexity systems

Strong attention to detail combined with a pragmatic, problem-solving mindset

Ability to collaborate closely with developers, product teams, and customers

Industry background
Experience in the following sectors would be highly beneficial:

Energy or Financial Trading (knowledge of platforms such as Endur, Allegro, or Findur is advantageous but not required)

Regulated software environments

Data-intensive or enterprise-scale systems

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