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- Tasks: Ensure financial logic correctness and validate insurance data in a new data lake.
- Company: Leading company in travel and insurance with a focus on innovation.
- Benefits: Hybrid working, 25 days holiday, and comprehensive medical benefits.
- Why this job: Join a dynamic team and make a real impact in the finance and data sector.
- Qualifications: Strong data QA skills and experience with AWS or similar cloud environments.
- Other info: Flexible work environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading company in travel and insurance is seeking a Senior QA Engineer to ensure financial logic correctness in their new data lake. The role requires strong data QA skills and experience with AWS or similar cloud environments. The ideal candidate will validate insurance data and claims calculations.
The position offers hybrid working arrangements with 2 days in the office, 25 days holiday, and comprehensive medical benefits.
Senior QA Engineer – Finance & Data (Hybrid, AWS) 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 (Hybrid, AWS) in Crawley
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data sectors. Let them know you're on the lookout for a Senior QA Engineer role. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by brushing up on your AWS skills and data QA techniques. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to financial logic and data validation.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your previous work in data QA, especially any projects involving insurance data or claims calculations. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior QA Engineer – Finance & Data (Hybrid, AWS) in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data QA and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ensuring financial logic correctness and how your background makes you the perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data validation or QA processes. We love seeing candidates who can think critically and adapt to new situations!
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 Basics
Make sure you brush up on your data QA skills before the interview. Be ready to discuss how you validate data accuracy, especially in financial contexts. Think of examples from your past work where you ensured the correctness of data and how you approached any challenges.
✨Familiarise Yourself with AWS
Since the role involves working with AWS or similar cloud environments, it’s crucial to have a solid understanding of these platforms. Prepare to talk about your experience with AWS services, particularly those related to data storage and processing, and how you've used them in previous projects.
✨Understand the Insurance Domain
Get a grasp on the insurance industry, especially around data handling and claims calculations. Research common pitfalls in insurance data QA and be prepared to discuss how you would approach validating this type of data effectively.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions to ask about their data lake, team dynamics, and how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
