Data QA Engineer

Sorry, this job was removed at 04:32 p.m. (UTC) on Friday, Oct 02, 2026
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Dublin, Leinster, IRL
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
The Data QA Engineer owns quality assurance for data products through manual and automated testing. Responsibilities include testing ETL pipelines, batch loads, data warehouses, data marts, transformations, metrics, and structured or semi-structured data. The role involves writing SQL validation queries, troubleshooting AWS data services, monitoring pipeline health, managing defects, reporting quality risks, and integrating automated tests into CI/CD pipelines.
Summary Generated by Built In

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.

 

Role Title: Data QA Engineer

BU/Segment: Data Management / Insurance

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:

Data Pipeline & ETL Testing

  • 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.

  • Validate data models (fact/dimension, keys, relationships)

  • Perform reconciliation between raw, curated, and reporting layers.

  • Validate business KPIs and metrics against source systems and definitions.

Operational Monitoring & Troubleshooting

  • Validate data ingestion in S3 (file counts, schema, partitions, formats)

  • 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 Athena

    • 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

  • Familiarity with browser developer tools for debugging network, console, and UI issues

  • 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.

 

Skills Required

  • Strong SQL skills, including joins and aggregations
  • Hands-on experience testing data pipelines, ETL, or data warehouses
  • Experience with AWS S3, AWS Glue, AWS Lambda, AWS Step Functions, AWS Redshift, AWS Athena, and AWS CloudWatch
  • Experience validating structured and semi-structured data, including Parquet, JSON, and CSV
  • Solid understanding of data warehousing concepts and dimensional modeling
  • At least 5 years of software quality assurance experience with a strong focus on manual testing
  • Proven experience testing complex web and/or mobile applications
  • Familiarity with browser developer tools for network, console, and UI debugging
  • 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 using a language such as Python
  • Experience integrating automated tests into CI/CD pipelines, such as Azure DevOps
  • Already eligible to work in the Republic of Ireland

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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