Data QA Engineer

Ex; Leinster; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Private healthcare

Life assurance 4x annual salary

Pension

Job summary

EXL is seeking a Data QA Engineer in Dublin to own QA across data products, delivering reliable pipelines through manual and automated testing. You will define test strategies, champion quality practices, and report on progress and risks to enable informed release decisions.

You will apply strong SQL, AWS data services (S3, Glue, Lambda, Step Functions, Redshift, CloudWatch), and Python automation to validate end-to-end data pipelines, monitor health, and contribute to continuous improvement in

Qualifications

• Strong SQL skills and data testing experience.
• Hands-on testing of data pipelines, ETL, or data warehouses.
• Experience with AWS services (S3, Glue, Lambda, Step Functions, Redshift, CloudWatch).
• Knowledge of structured and semi-structured data (Parquet, JSON, CSV).
• Solid understanding of data warehousing concepts and dimensional modelling.
• 5+ years in software QA with emphasis on manual testing.
• Proven experience testing complex web/mobile apps.
• Strong QA methodologies, SDLC, and Agile/Scrum.
• Experience with Jira, TestRail, or similar tools.
• Automation skills to write tests for pipelines (Python).
• Experience integrating tests into CI/CD (Azure DevOps).

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.
• Data Warehouse & Data Mart Validation.
• Write complex SQL queries to validate fact and dimension tables in Redshift.
• Perform reconciliation between raw, curated, and reporting layers.
• Validate business KPIs and metrics against source systems.
• Operational monitoring & troubleshooting.
• Review Glue job and Lambda execution logs to troubleshoot data issues.
• Monitor pipeline health, failures, and data refresh SLAs.

Skills

SQL

Manual testing

QA methodologies

Agile/Scrum

Test design

Defect management

Reporting

Automation (Python)

Tools

AWS S3

AWS Glue

AWS Lambda

AWS Step Functions

AWS Redshift

AWS CloudWatch

Jira

TestRail

Python

Azure DevOps

Job description

• Job Role Data Engineering-Data Quality Engineer
• Experience (In Years) 6-9
• Job Location Dublin , Ireland

Job Description

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com .

Location: Dublin, Republic of Ireland (Flexible hybrid working)

Employment Type: Permanent

Summary of the role:

The Data QA Engineer will own and drive quality assurance across our data products, ensuring the delivery of reliable, accurate, and high-performing solutions through a combination of manual and automated testing.

This role is responsible for defining and executing test strategies, championing quality best practices, and embedding a quality-first mindset across the engineering organisation. The Data QA Engineer will also provide clear, accurate, and timely reporting on test progress, quality risks, and defect status, enabling informed release decisions and continuous improvement of product quality.

As part of your duties, you will be responsible for:

• 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.
• Understanding of data governance, privacy, and PII handling
• Data Warehouse & Data Mart Validation
• Write complex SQL queries to validate fact and dimension tables in Redshift.
• Perform reconciliation between raw, curated, and reporting layers.
• Validate business KPIs and metrics against source systems and definitions.
• Operational Monitoring & Troubleshooting
• Review Glue job and Lambda execution logs to troubleshoot data issues.
• Monitor pipeline health, failures, and data refresh SLAs.

Qualifications and experience we consider to be essential for the role:

• Strong SQL skills (joins, aggregations)
• Hands-on experience testing data pipelines, ETL, or data warehouses
• Experience with AWS services:
• AWS S3
• AWS Glue
• AWS Lambda
• AWS Step Functions
• AWS Redshift
• AWS CloudWatch
• Experience validating structured and semi-structured data (Parquet, JSON, CSV)
• Solid understanding of data warehousing concepts and dimensional modelling
• 5+ years’ experience in software quality assurance with a strong focus on manual testing
• Proven experience testing complex web and/or mobile applications
• Strong understanding of QA methodologies, SDLC, and Agile/Scrum
• Excellent test design, defect management, and reporting skills
• Experience with Jira, TestRail, or similar tools
• Automation skills to write automated tests for pipelines using a language like Python.
• Experience integrating automated tests into CI/CD pipelines (e.g. Azure DevOps)

What Success Looks Like

Clear visibility into test status and product quality

Well-documented and prioritised defects tracked to closure

Informed release decisions based on accurate quality data

Reduced escaped defects and strong stakeholder trust

As part of a leading global Data and AI company, you can look forward to:

A competitive salary with a generous bonus, private healthcare, life assurance at 4 x your annual salary , income protection insurance , and a rewarding pension.

At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.

As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.

At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the Republic of Ireland.