Cpl logo

Data QA Engineer

CplApplies on LinkedInEngineering & Development
Salary
€85K–€95K
Hiring from
Ireland
Work type
Hybrid
Posted
Is this job info correct?

522,961 remote jobs, straight from company career pages

100% free · New jobs every hour

Show job description
  • Dublin (Hybrid | Minimum 3 Days Onsite)
  • €85-95,000 + Bonus up to 12% + Full Benefits

Cpl Recruitment is partnering with a leading organisation to hire a Data QA Engineer for their growing data team in Dublin. This opportunity is suited to a QA professional with 5+ years' experience in software quality assurance , including hands-on experience testing data pipelines, ETL processes, and data warehouse environments. The successful candidate will play a key role in ensuring the quality, accuracy, and reliability of business-critical data solutions.

Responsibilities

  • Validate end-to-end data pipelines, ETL processes, and data warehouse solutions.
  • Ensure data accuracy, completeness, and consistency across multiple systems.
  • Execute manual and automated testing strategies across data products.
  • Identify, track, and manage defects through to resolution.
  • Monitor data quality and support root cause analysis of data-related issues.
  • Collaborate with engineering and business stakeholders to drive quality best practices.

Requirements

  • 5+ years' experience in Software QA, with a strong focus on manual testing.
  • Strong SQL skills and experience validating large datasets.
  • Experience testing data pipelines, ETL processes, or data warehouse environments.
  • Experience with cloud data technologies, ideally AWS.
  • Experience with both manual and automated testing methodologies.
  • Strong understanding of QA best practices, Agile delivery, and defect management.
  • Excellent communication and stakeholder engagement skills.
  • Applicants must hold Irish or EU Citizenship

What's on Offer

  • Salary up to €95,000.
  • Annual bonus up to 12%.
  • Hybrid working model with a minimum of 3 days per week in the Dublin office.
  • Opportunity to work with modern cloud, data, and analytics technologies.
  • Strong career progression within a growing data function.
  • Permanent full-time position.

Similar jobs

Apply on LinkedIn