Senior Data QA Engineer — Hybrid Dublin, Data Pipelines

EXL; Dublin; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Private healthcare

Life insurance 4x salary

Income protection

Pension

Job summary

EXL in Dublin is seeking a Data QA Engineer to own quality assurance across data products, ensuring reliable, accurate, high-performing solutions through manual and automated testing. The role defines test strategies and reports on progress, risks, and defects to enable informed release decisions.

You will validate end-to-end data pipelines, test batch loads, validate transformations and KPIs, and monitor pipeline health with AWS services like S3, Glue, Lambda, and Redshift.

Qualifications

• 5+ years of software quality assurance with a strong focus on manual testing.
• Experience testing data pipelines, ETL, or data warehouses.
• Strong SQL skills and data validation experience.
• Experience with AWS data services (S3, Glue, Lambda, Step Functions, Redshift, CloudWatch).
• Experience validating structured and semi-structured data (Parquet, JSON, CSV).
• Strong QA methodologies, SDLC, and Agile/Scrum.

Responsibilities

• Validate end-to-end data pipelines from source systems to data marts.
• Test batch data loads.
• Validate transformations, aggregations, and derived metrics.
• Ensure data completeness, accuracy, and consistency across layers.
• Understand data governance, privacy, and PII handling.

Skills

SQL

ETL testing

Data pipelines testing

Manual testing

QA methodologies

Agile/Scrum

Test design

Reporting

Data governance

PII handling

Tools

Jira

TestRail

AWS Glue

AWS Redshift

AWS Step Functions

AWS Lambda

Azure DevOps

CloudWatch

Parquet/JSON/CSV validation

Job description

EXL in Dublin is seeking a Data QA Engineer to own quality assurance across data products, ensuring reliable, accurate, high-performing solutions through manual and automated testing. The role defines test strategies and reports on progress, risks, and defects to enable informed release decisions.

You will validate end-to-end data pipelines, test batch loads, validate transformations and KPIs, and monitor pipeline health with AWS services like S3, Glue, Lambda, and Redshift.