Principal Quality Test Engineer

Brightmine; London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A leading company is seeking a Principal QA for their data engineering team in London. This role entails leading the QA function, ensuring high software quality, and collaborating across teams. The successful candidate will have significant QA experience and proficiency in various automation tools. This is an excellent opportunity to make a substantial impact in a fast-paced, agile environment.

Qualifications

• Over a decade of experience in Quality Test Engineering.
• Experience in leading and coaching other QAs.
• Familiarity with data-related technologies like Data Warehouse, ETL, and SQL.

Responsibilities

• Leading development and execution of automated and performance testing.
• Defining QA objectives and roadmaps.
• Creating automation frameworks for diverse software.

Skills

Automation testing

Performance testing

Quality assurance

Leadership

Cost management

Education

BS in Engineering-Computer Science or equivalent experience

Tools

Selenium/webdriver

Cypress

Playwright

CI/CD systems (TeamCity, Jenkins)

Azure

Job description

About the Business:

With more than 10,000 global customers, Brightmine, formerly XpertHR, is a leading provider of people data, analytics and insight for the HR sector. We help HR leaders confidently navigate the evolving world of work through our unique combination of critical workforce data, AI-enabled technology and trusted HR expertise. At the same time, we're creating an inclusive, people-focused environment of our own. A culture where individuals with ambition, curiosity and ideas can make an impact. Where you can think big, aim high and explore more.

About our Team:

Our team is composed of highly motivated and enthusiastic QA engineers, full-stack developers, data engineers, and business analysts, all leveraging the Microsoft stack for application development and data engineering.

We specialize in building highly scalable data solutions that enable seamless data sharing with various customers. Additionally, we collaborate closely with Data Operations, Data Science, SREs, and Product Management to ensure robust, efficient, and high-quality data products.

Operating in a fast-paced agile environment, we prioritize speed and agility while maintaining high standards of quality. Our team is geographically distributed but works seamlessly together, fostering effective collaboration to design, develop, and deliver innovative solutions.

The successful candidate will coach and develop a team of 5 other QAs to drive process improvements and implement best practice.

About the Role:

A Principal QA role on a data platform data engineering team is responsible for leading the quality assurance function and ensuring the delivery of high-quality software products. The role involves developing and executing automated and performance testing, defining objectives and roadmaps for QA, implementing quality metrics, and owning QA end-to-end from discovery to delivery. The Principal QA also collaborates with cross-functional teams to plan and conduct testing, ensures that testing addresses requirements, identifies cost-effective tools to enhance testing and product quality, investigates and resolves performance problems, leads continuous improvement initiatives, and implements best practices.

Responsibilities

• Leading development and execution of automated and performance testing for large or multiple diverse projects
• Leading the QA function, defining objectives, QA roadmaps
• Suggest, implement and track quality metrics - e.g. code coverage
• Owning QA end-to-end from discovery to delivery and beyond
• Creating automation frameworks from scratch to test diverse set of software from typical web application (front end, rest APIs) to data platforms (like ADFs, Databricks etc)
• Collaborating with teams to plan and conduct automated and performance testing for quality assurance
• Ensuring that testing addresses requirements as agreed with other stakeholders
• Leading initiatives to identify and implement cost-effective tools to enhance testing and product quality
• Collaborating with IT professionals to investigate and resolve performance problems
• Leading continuous improvement initiatives and implementation of best practices

Requirements

• Possess extensive expertise in Quality Test Engineering gained from over a decade of experience
• Have an Engineering-Computer Science BS or equivalent experience;
• Has experience leading / coaching / line managing other QAs to drive improvements in the function e.g. adopting new tools and process enhancements
• Able to automate using tools/frameworks like playwright, cypress, selenium/webdriver
• Able to code in programming languages such as python including OOP, Typescript/javascript, C#
• Have experience in CI/CD systems such as teamcity, Jenkins,
• Have experience in containerization, Azure - Azure service bus, Function Apps, ADFs
• Possesses knowledge on data related technologies like - Data Warehouse, snowflake, ETL, Data pipelines, pyspark, delta tables, file formats - parquet, columnar
• Have a good understanding of SQL, stored procedures
• Be able to lead development and execution of performance and automation testing for large-scale projects
• Be experienced in administration of testing tools-environments
• Be able to work within established budgets
• Possess comprehensive understanding of industry trends

• Learn more about the LexisNexis Risk team and how we work here

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