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- Tasks: Validate financial data and ensure accuracy in a new data lake project.
- Company: Join a global leader in travel and insurance, thriving and expanding.
- Benefits: Enjoy 25 days holiday, private medical insurance, and life assurance.
- Why this job: Make a real impact on financial data integrity in a modernising environment.
- Qualifications: Strong data QA background and understanding of finance/accounting concepts required.
- Other info: Hybrid work model with opportunities to work abroad for up to 8 weeks.
The predicted salary is between 65000 - 70000 £ per year.
Method Resourcing is thrilled to be partnering with a global leader in the travel & insurance industry who are hiring a Senior QA Engineer as they continue to go from strength-to-strength. They’re profitable, growing, and in the middle of a significant investment programme designed to modernise their data landscape.
The business is building a new, unified data lake that brings together all structured and unstructured data. This role sits in a newly created finance‑focused data squad. While technical QA skills already exist across the team, what’s missing is someone who can validate the financial and accounting logic that underpins insurance data, claims calculations, and finance-driven transformations. This Senior QA will become the specialist who ensures the data landing in UAT and the warehouse is not only technically correct, but financially correct.
What my client is looking for:
- Strong background in data QA (data lakes, ETL pipelines, warehousing) - essential
- Experience in an AWS environment (other cloud such as Azure or GCP can suffice) - essential
- Understanding and experience of/with finance/accounting concepts (e.g., gross profit, adjustments, reconciliation logic) - essential
Nice-to-Haves:
- Python for test automation
Working Arrangements:
- Hybrid: 2 days per week in the office (Crawley or Central London)
- Those based in the London office will attend sprint planning in Crawley every two weeks
- Work abroad for up to 8 weeks per year
Benefits:
- 25 days holiday + increases with tenure
- Private medical insurance & dental insurance
- Life assurance (4x salary)
- Income protection plan (75% of base salary)
Senior QA Engineer - Finance & Data in Crawley employer: Method-Resourcing
Contact Detail:
Method-Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior QA Engineer - Finance & Data in Crawley
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of data lakes, ETL pipelines, and financial concepts. We want you to be the go-to person for validating financial logic, so show off your expertise!
✨Tip Number 3
Don’t forget to showcase your skills! Create a portfolio or GitHub repository with examples of your work in Python and QA processes. This will help us see your hands-on experience and technical prowess.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior QA Engineer - Finance & Data in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data QA, especially with data lakes and ETL pipelines. We want to see how your skills align with the finance and accounting concepts mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Senior QA Engineer role. Mention your experience with AWS and any relevant financial logic you've worked with.
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially if you have experience with Python for test automation. We love seeing candidates who can bring that extra edge to our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Method-Resourcing
✨Know Your Data QA Inside Out
Make sure you brush up on your data QA skills, especially around data lakes and ETL pipelines. Be ready to discuss specific projects where you've validated financial data, as this role requires a strong understanding of finance and accounting concepts.
✨Familiarise Yourself with AWS
Since the role is set in an AWS environment, it’s crucial to demonstrate your knowledge of AWS services. Prepare examples of how you've used AWS in previous roles, particularly in relation to data warehousing and QA processes.
✨Understand Financial Logic
Get comfortable with key financial terms and concepts like gross profit and reconciliation logic. You might be asked to explain how these concepts apply to data validation, so having real-world examples will help you stand out.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills in QA scenarios. Practise coding challenges in Python, especially those related to test automation, as this could be a significant part of the interview.
