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- Tasks: Ensure reliable and fast databases for a growing payments platform.
- Company: Exciting FinTech start-up with a rapidly expanding client base.
- Benefits: Hybrid working, competitive salary, and opportunities for growth.
- Other info: Work 2 days a week in Central London with a supportive team.
- Why this job: Join a dynamic team and make an impact in the FinTech industry.
- Qualifications: Expert MySQL skills and AWS Cloud knowledge required.
The predicted salary is between 50000 - 60000 £ per year.
I'm partnered with a growing payments start-up, who are looking to hire a Data Engineer to join their team and work on their Payments platform. You will join a growing company with an expanding client base and will work closely with the Lead Data Engineer, where you will be responsible for ensuring Databases are reliable and fast, ensuring accurate Data delivery.
Key skills and experience:
- You must have expert MySQL skills - essential
- AWS Cloud knowledge
- Domain knowledge in either FinTech, Payments or Insurance
- Hybrid working - 2-days a week in Central London
- 3-stage interview process
- You must be UK based and visa sponsorship is unavailable!
Data Engineer - FinTech employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - FinTech
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work at the start-up you're eyeing. A friendly chat can sometimes lead to a referral, which is golden when it comes to landing that Data Engineer role.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects showcasing your MySQL and AWS prowess, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview process by brushing up on common data engineering scenarios. Think about how you’d ensure database reliability and speed, and be ready to discuss your approach. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in the right hands. Plus, we love seeing familiar faces from our community!
We think you need these skills to ace Data Engineer - FinTech
Some tips for your application 🫡
Show Off Your MySQL Skills: Make sure to highlight your expert MySQL skills in your application. We want to see how you've used it in past projects, so don’t hold back on the details!
Demonstrate Your AWS Knowledge: Since AWS Cloud knowledge is essential for this role, include any relevant experience you have with AWS. We love seeing how you’ve leveraged cloud services to improve data management.
Connect Your Experience to FinTech: If you have domain knowledge in FinTech, Payments, or Insurance, make it clear in your application. We’re looking for candidates who understand the industry and can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Oliver Bernard
✨Master MySQL Like a Pro
Since expert MySQL skills are essential for this role, make sure you brush up on your SQL queries and database management techniques. Practise common scenarios you might encounter in the job, like optimising queries or troubleshooting performance issues.
✨Show Off Your AWS Knowledge
Familiarise yourself with AWS services relevant to data engineering, such as RDS, S3, and Lambda. Be prepared to discuss how you've used these tools in past projects or how you would implement them in the payments platform.
✨Understand the FinTech Landscape
Research the current trends in FinTech, especially around payments and insurance. Being able to discuss industry challenges and innovations will show your passion and understanding of the domain, making you a more attractive candidate.
✨Prepare for the 3-Stage Process
With a 3-stage interview process, it's crucial to prepare for each stage. Expect technical assessments, behavioural interviews, and possibly a case study. Practise articulating your thought process clearly, as communication is key in collaborative environments.