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- Tasks: Design and operate mission-critical database platforms for high availability and performance.
- Company: Leading financial technology firm in the UK with a focus on innovation.
- Benefits: Competitive pay, work/life balance, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the fintech industry.
- Qualifications: Expertise in database systems, automation with Python, and AWS experience.
- Other info: Exciting role with a strong emphasis on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology firm in the UK is seeking a Database Platform Engineer to join their Data Services team. In this full-time role, you will design, build, and operate mission-critical database platforms. Your responsibilities include ensuring high availability and performance of distributed database services using technologies like PostgreSQL and MySQL.
The ideal candidate has strong expertise in database systems, automation with Python, and experience with AWS services. The role offers competitive pay and a focus on work/life balance.
Database Platform Engineer – Scale & Automation (London) employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Database Platform Engineer – Scale & Automation (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your database projects, make sure to share it during interviews. It’s a great way for us to demonstrate our expertise in PostgreSQL, MySQL, and automation.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AWS knowledge. We should practice common database scenarios and be ready to discuss how we’d ensure high availability and performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and shows that we’re genuinely interested in joining the team. Plus, it makes tracking our application super easy!
We think you need these skills to ace Database Platform Engineer – Scale & Automation (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with database systems like PostgreSQL and MySQL. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Show Off Your Automation Skills: Since automation with Python is key for this role, include specific examples of projects where you've used Python to automate tasks. We love seeing how you can make things more efficient!
Highlight Your AWS Experience: If you've worked with AWS services, make it known! Detail any relevant projects or experiences that demonstrate your ability to manage distributed database services in the cloud.
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 the role. Plus, we can’t wait to hear from you!
How to prepare for a job interview at G-Research
✨Know Your Databases
Make sure you brush up on your PostgreSQL and MySQL knowledge. Be ready to discuss your experience with these systems, including any specific projects where you ensured high availability and performance.
✨Show Off Your Automation Skills
Since automation with Python is key for this role, prepare to share examples of how you've used Python to automate database tasks. Think about specific scripts or tools you've developed that improved efficiency.
✨Familiarise Yourself with AWS
As the role involves working with AWS services, it’s crucial to understand how they integrate with database platforms. Brush up on your knowledge of relevant AWS services and be ready to discuss how you've used them in past projects.
✨Balance is Key
This company values work/life balance, so be prepared to discuss how you manage your time and workload. Share strategies that help you maintain productivity while ensuring you have time for personal interests.
