Principal QA Engineer

Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we’re expanding globally with new offices in South Africa and Dubai, a strong presence in the Philippines, and our HQ in the UK.

If you’re ready to join a high-growth AWS partner and take your career to the next level, we want to hear from you.

Join a UK-based tech-driven company at the forefront of financial data innovation.

Our client is seeking an experienced Principal QA Engineer who will be responsible for testing functional improvements and new / updated data streams into the company’s Trade Surveillance system. This will involve extensive data analysis, reconciliation and edge case analysis to ensure the completeness, accuracy and integrity of surveillance-related data flows from source through to downstream detection engines, in addition to the usual QA test activities.

The Senior QA Engineer will work closely with Developers, Data Engineers, Business Analysts and Product Owners. A part of this role is to support test automation within the Trade Surveillance data pipeline delivery team. The successful candidate will be able to define test frameworks and execute test scenarios. Of the team of 4 QA Engineers in location, this is the Senior role that will be expected to support the other QA Engineers, through local oversight and coaching.

Role Responsibilities

Mentor other QA engineers in the team, whilst ensuring alignment with strategic objectives and project goals across the team

A very strong individual contributor to help define and drive QA strategies and standards

Design and implement automated tests for ETD / OTC trade data pipelines

Execute end-to-end testing and validation across multiple feeds

Develop test cases based on regulatory rules, transformation mappings, and business requirements

Support performance and volume testing for high-throughput trade feeds

Maintain test harnesses and reusable validation components

Experience / Competences

Essential

7+ years of QA or test automation experience in data projects

Proficiency in a scripting or coding language to support automated test development

Proven experience of test data generation and data mocking techniques

Strong knowledge with Git, CI / CD tools and agile QA practices

Cloud platforms (especially AWS) for testing data pipelines

Test automation frameworks such as PyTest, Robot Framework, and Postman

Surveillance alert logic and transformation mappings

Compliance-driven test case design, especially for systems like SCILA and Apama

Design and execute end-to-end validation across multiple trade data feeds

Conduct performance and volume testing for high-throughput environments

Familiarity with agile QA practices and tools like JIRA, Jenkins, and Confluence

Desired

Experience with capital markets data – trade, order, pricing

Prior experience testing for surveillance or regulatory reporting flows

Exposure to tools like Jira, Zephyr, Playwright

Experience with SCILA, Apama, or similar surveillance platform