Data QA Engineer at CPL Center Point Logistics
Dublin, Dublin County, Ireland -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 26

Salary

75000.0

Posted On

30 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description

About the job


  • Data QA EngineerDublin (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.

  • ResponsibilitiesValidate 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.

Responsibilities

About the job


  • Data QA EngineerDublin (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.

  • ResponsibilitiesValidate 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.

Loading...