GA

Lead Quality Engineer - Automation & Manual (Data Domain)

Gallagherlinkedin.com
Oct 29, 2026, 8:10 PM4h ago
Full-timeColombo, Western ProvinceQALead (6+ yrs)

About the role

Gallagher is seeking a Lead Quality Engineer specializing in both automation and manual testing within the data domain. This Sri Lanka-based role involves leading a team to ensure the quality and reliability of enterprise data platforms, supporting both production and development activities. Key responsibilities include acting as the primary QE contact for data operations, mentoring QA engineers, overseeing defect triage and data issue resolution, leading testing for data pipelines and reporting enhancements, and contributing to automation using tools like DBT, Dataiku, and Airflow. The ideal candidate will have significant experience in data-centric testing, proficiency in SQL, and familiarity with cloud data platforms and BI tools. Gallagher offers a collaborative, innovative environment with opportunities to make a meaningful impact on global data solutions.

Must have

  • A degree in Computer Science, Software Engineering, Information Systems, or equivalent experience.
  • 6-8+ years of experience with a strong focus on data-centric testing, including ETL processes, data warehouses, and data lakes.
  • 3+ yeares in a QE Lead or SME role for data platforms
  • Proficiency in SQL and familiarity with data validation tools like QuerySurge, Selenium, or Python-based frameworks.
  • Knowledge of cloud data platforms (e.g., Snowflake, Azure Synapse) and BI tools (e.g., Power BI, Tableau).
  • Strong collaboration, problem-solving, and communication skills.

Nice to have

  • QA certifications (e.g., ISTQB) and familiarity with AI/ML-based testing tools.

Technologies

  • Airflow
  • Azure
  • Azure Synapse
  • Data Lake
  • Data Pipelines
  • Data Warehousing
  • dbt
  • ELT
  • ETL
  • Istqb
  • Machine Learning
  • Power BI
  • Python
  • Selenium
  • Snowflake
  • SQL
  • Tableau
  • Test Automation

Highlights

The role is based in Sri Lanka and involves working with a global team. QA certifications (such as ISTQB) and familiarity with AI/ML-based testing tools are preferred but not required.