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Aiimi

Enterprise data governance and AI platform

QA Engineer

Manual & Functional QA +1Confirmed live in the last 24 hours
Full-timeDerby, UKNo salary listed

About the Job

Requirements

  • Demonstrable experience in software quality assurance or testing roles, ideally in a consultancy environment.
  • Familiarity with writing and maintaining automated tests using Playwright, Storybook, PyTest, Jest, Vitest, or similar tools.
  • Experience testing application programming interfaces and web applications.
  • Strong understanding of quality assurance methodologies and software delivery processes.
  • Experience working with continuous integration and continuous delivery pipelines and version control tools such as Git or DevOps.
  • Clear communication skills and ability to collaborate with technical and non-technical stakeholders.

Responsibilities

  • Help define quality assurance best practices and processes within regulatory frameworks.
  • Contribute to documentation, identify appropriate tooling, and promote knowledge sharing within the team.
  • Collaborate with developers, engineers, and delivery leads to define acceptance criteria.
  • Provide input during ceremonies and phase-gate reviews to drive quality-first delivery.
  • Create, execute, and maintain manual and automated test scripts for data-driven web applications.
  • Carry out regression, functional, integration, and exploratory testing.
  • Help triage bugs and issues, working with the team to resolve them efficiently.

Desired Qualifications

  • Exposure to data projects or testing in analytics environments.
  • Knowledge of SQL and ability to validate data between systems.
  • Experience working with extract, load, and transform (ELT) or extract, transform, and load (ETL) pipelines.
  • Familiarity with performance testing tools or security testing concepts.

About the Company

Aiimi

Enterprise data governance and AI platform

Aiimi provides a Workplace AI platform that helps enterprises govern messy data by automatically classifying, labeling, moving, and protecting information to enable safe, scalable AI use. The platform analyzes data across systems, applies consistent metadata and access controls, relocates data to safe locations, and locks down sensitive information, while continuously mapping and monitoring the data estate for ongoing compliance and risk management. Unlike tools that focus on one-off governance, Aiimi combines data quality, security, and AI readiness with hands-on consulting and flexible managed services to address real-world enterprise environments. The goal is to unlock AI value for large organizations by making their data safe, well-organized, and ready for scalable AI adoption.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
United Kingdom
Founded
2007

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