Lead Quality Engineer - Data Operations (Automation & Manual)

About the role

Gallagher is hiring a Quality Engineer Lead for its Data Operations team, based in Sri Lanka. The role ensures the quality and reliability of enterprise data platforms and combines leading quality engineering for production support and development with mentoring QA engineers. It sits within a global team working on data solutions.

Key responsibilities

• Act as the primary Quality Engineering contact for Data Operations and support teams.
• Mentor and guide QA engineers to deliver high-quality results and follow best practices.
• Oversee defect triage, root cause analysis and resolution of data issues.
• Lead testing of new data pipelines, transformations, schema changes and reporting enhancements.
• Define and enforce data quality rules, validate ETL/ELT pipelines and ensure critical reports are accurate.
• Write and review SQL scripts for validation and reconciliation.
• Contribute to pipeline automation with tools such as DBT, Dataiku and Airflow.
• Establish reusable frameworks for data quality checks and automated testing.
• Define quality gates for deployments and data releases, and maintain test documentation and dashboards.

Required profile

• 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+ years in a QE Lead or SME role for data platforms.
• Preferred: QA certifications (e.g. ISTQB) and familiarity with AI/ML-based testing tools.

Required skills

• SQL proficiency and familiarity with data validation tools such as 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.