Remote Lead QA Engineer in Fife

Remote Lead QA Engineer in Fife

Fife Full-Time Home office (partial)
Xpertise Recruitment Ltd

At a Glance

  • Tasks: Lead testing efforts for backend systems and data quality in an Agile team.
  • Company: Global insurance company with a reputation for innovation and inclusivity.
  • Benefits: Competitive salary, bonus, strong benefits package, and career progression.
  • Other info: Recognised as one of the best places to work in 2025.
  • Why this job: Make a real impact on data quality while working in a dynamic environment.
  • Qualifications: Experience in data warehouse testing and strong data quality expertise required.

Our insurance client in Leicester are looking for a Lead Quality Engineer focused on testing backend systems, data migration, ETL, and data quality.

Overview of role: As Lead Quality Engineer, you’ll lead testing efforts within an Agile team, ensuring the quality of data pipelines and ETL processes. You’ll define test strategies, mentor a high-performing team, and collaborate with stakeholders to align testing with business goals.

Responsibilities include:

  • Hands-on data validation
  • Test automation
  • Performance testing
  • Continuous improvement of frameworks

Salary: £65k + bonus + very strong benefits package

Location: Leicester: 2-3 days a week

Why you could be interested: Join a global company operating in 40+ countries with continuous career progression opportunities. Inclusive and innovative culture; continuous improvement environment. Recognised as one of the very best places to work in 2025.

Experience Required:

  • Experience in data warehouse testing, including ETL processes, data pipelines, and data integration.
  • Strong data quality testing expertise.
  • Proven ability to define and implement testing strategies tailored to data warehouse products, including manual and automated testing approaches.
  • Experience developing test plans, test cases, and data quality checks across multiple stages of the data pipeline.

Nice to have / not essential:

  • Experience building and maintaining test harnesses using tools like dbt (Data Build Tool) for automating data validation across ETL processes and ensuring test integration with CI/CD pipelines.

Remote Lead QA Engineer in Fife employer: Xpertise Recruitment Ltd

As a Lead Quality Engineer at our esteemed insurance client in Leicester, you will thrive in an inclusive and innovative culture that prioritises continuous improvement and employee growth. With a strong benefits package and the opportunity to work within a global company recognised as one of the best places to work in 2025, you will lead a high-performing team while enjoying a flexible work environment that fosters collaboration and career progression.

Xpertise Recruitment Ltd

Contact Details:

Xpertise Recruitment Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Lead QA Engineer in Fife

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work in QA or data roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your testing strategies, automation scripts, and any successful projects you've led. This will give potential employers a clear view of what you bring to the table.

Tip Number 3

Prepare for interviews by brushing up on Agile methodologies and data quality principles. Be ready to discuss how you've tackled challenges in past roles, especially around ETL processes and data validation.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Remote Lead QA Engineer in Fife

Data Warehouse Testing
ETL Processes
Data Pipelines
Data Integration
Data Quality Testing
Testing Strategies
Manual Testing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Lead QA Engineer. Highlight your experience with data warehouse testing, ETL processes, and any relevant automation skills. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality engineering and how you can contribute to our Agile team. Don’t forget to mention your experience in mentoring and defining test strategies.

Showcase Your Achievements:When detailing your experience, focus on specific achievements. Did you improve a testing process or lead a successful project? We love numbers and results, so quantify your successes where possible!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Xpertise Recruitment Ltd

Know Your Data Inside Out

Make sure you brush up on your knowledge of data pipelines, ETL processes, and data quality testing. Be ready to discuss specific examples from your past experience where you've successfully validated data or improved testing strategies.

Showcase Your Leadership Skills

As a Lead QA Engineer, you'll be expected to mentor your team. Prepare to share instances where you've led a project or guided a team through challenges. Highlight your approach to fostering collaboration within an Agile environment.

Prepare for Technical Questions

Expect questions about test automation and performance testing. Familiarise yourself with the tools and frameworks relevant to the role, such as dbt for automating data validation. Being able to discuss your hands-on experience will set you apart.

Align with Business Goals

Understand how your role as a QA Engineer fits into the bigger picture of the company’s objectives. Be prepared to discuss how you can align testing efforts with business goals and contribute to continuous improvement initiatives.