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8 дней назад

Principal QA Engineer - Data

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal QA Engineer - Data (Data QA/Automation): Defining and implementing quality assurance strategy for modern data platforms, pipelines, transformations, integrations, and reporting layers with an accent on automation, data validation, and scalable testing frameworks. Focus on leading the transition from manual testing, solving complex data quality issues, mentoring QA Engineers, and exploring AI-assisted testing approaches.

Location: Liverpool, England, United Kingdom; flexible hybrid working model

Company

hirify.global operates the Very digital retail platform, serving millions of customers through technology, data, analytics, and AI-enabled experiences.

What you will do

  • Define and implement the Data QA strategy across data platforms and products.
  • Design and introduce scalable automated testing frameworks for data solutions.
  • Develop testing approaches for ETL/ELT pipelines, transformations, integrations, and reporting layers.
  • Perform data validation, reconciliation, and quality assurance across large datasets.
  • Lead root-cause analysis and help resolve data quality issues.
  • Mentor QA Engineers and drive best practices across automation, quality engineering, and test management.

Requirements

  • Significant experience in Data QA, Data Testing, Quality Engineering, or SDET roles.
  • Strong experience testing modern data platforms, data pipelines, and ETL/ELT processes.
  • Excellent SQL skills for interrogating, validating, and troubleshooting complex datasets.
  • Experience building and implementing test automation frameworks and defining complex test scenarios.
  • Experience with cloud-based environments, ideally AWS.
  • Experience mentoring, coaching, and developing QA professionals, with strong stakeholder management and communication skills.

Nice to have

  • Python experience for test automation, test data creation, or data validation.
  • Experience with Lakehouse architectures and modern data platforms.

Culture & Benefits

  • Flexible hybrid working model.
  • £1,000 flexible benefits allowance.
  • 30 days of holiday plus bank holidays.
  • LinkedIn Learning access and performance-related bonus potential.
  • Up to 25% discount on Very.co.uk and matched pension contributions up to 6%.
  • Inclusive culture with reasonable adjustments available during recruitment and employment.

Hiring process

  • Initial call with the talent acquisition team, followed by CV review by the hiring manager.
  • One-stage process: a one-hour face-to-face interview with the hiring team, including competency questions.
  • Successful candidates undergo credit, CIFAS, and Right to Work checks; a DBS check may apply where required.

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