Haystack
← Back to Jobs
Remote
Temporary/Casual
Other
BGBrightBox Group logo

QA Test Lead

BrightBox GroupLondon🇬🇧United KingdomPosted 16 Oct 2026

Why This Role Stands Out

This remote QA Test Lead role offers significant growth by leveraging cutting-edge AI-assisted testing and automation with PySpark, Python, and Databricks, making it ideal for experienced QA professionals passionate about data quality and leadership. You'll thrive in this position by leading impactful projects and collaborating within a dynamic team, with a competitive day rate of £650. Apply now to elevate your career in software quality assurance.

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Remote
Location
London, United Kingdom
SQLETLDatabricksPython

Job Description

Job Title: QA Test Lead
Day rate: 650

Inside IR35
Largely Remote, London 1 day per week
Job Summary:
We are seeking an experienced QA Test Lead to oversee the quality assurance processes for our software development projects. The ideal candidate will have a strong background in ETL, data validation, and SQL, coupled with expertise in test automation engineering using PySpark, Python, and Databricks. You will play a critical role in ensuring the delivery of high-quality software solutions, employing AI-assisted testing and validation to enhance our QA processes.
Key Responsibilities:
  • Lead and manage the QA testing efforts for various software projects.
  • Design, implement, and maintain test plans and test cases for ETL processes.
  • Conduct thorough data validation and verification using SQL.
  • Develop and execute automated test scripts using PySpark, Python, and Databricks.
  • Integrate AI-assisted testing methodologies to improve testing efficiency and accuracy.
  • Collaborate with cross-functional teams to identify and resolve defects.
  • Mentor and support junior QA team members.
  • Continuously evaluate and improve QA methodologies and processes.

Requirements:
  • Proven experience as a QA Test Lead or in a similar role.
  • Strong expertise in ETL processes and data validation.
  • Proficiency in SQL for data validation and analysis.
  • Experience in test automation engineering using PySpark, Python, and Databricks.
  • Familiarity with AI-assisted testing and validation techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and leadership abilities.

Similar jobs