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- Tasks: Manage and optimise large scale database platforms using Python and infrastructure as code.
- Company: Leading technology firm in the UK with a focus on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a technically strong team and make a real impact in advancing data technology.
- Qualifications: Strong experience with PostgreSQL, AWS, and a mindset for ownership and improvement.
- Other info: Dynamic work environment with a commitment to continuous learning.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in the United Kingdom is seeking a Database Engineer to manage and optimize their large scale database platforms. This role involves ensuring reliability and performance while automating operations using Python and infrastructure as code.
The ideal candidate will have strong experience with relational databases, particularly PostgreSQL and AWS, and a mindset geared towards ownership and continuous improvement.
Join a technically strong team dedicated to advancing data technology.
Senior Data Platform Engineer in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PostgreSQL and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and infrastructure as code knowledge. Practice coding challenges and be ready to discuss how you've optimised databases in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with relational databases, especially PostgreSQL and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Showcase Your Automation Skills: Since this role involves automating operations using Python and infrastructure as code, include examples of how you've done this in the past. We love seeing candidates who can demonstrate a proactive approach to improving processes.
Emphasise Ownership and Improvement: We’re looking for someone with a mindset geared towards ownership and continuous improvement. In your application, share instances where you took charge of a project or implemented changes that led to better performance or reliability.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture.
How to prepare for a job interview at Arcus Search
✨Know Your Databases Inside Out
Make sure you brush up on your knowledge of relational databases, especially PostgreSQL. Be ready to discuss your past experiences with database management and optimisation, as well as any specific challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since automation is key for this role, be prepared to talk about your experience with Python. Bring examples of scripts or tools you've developed to automate database operations, and if possible, demonstrate your coding skills during the interview.
✨Familiarise Yourself with AWS
As this position involves working with AWS, make sure you understand its services related to databases. Be ready to discuss how you've used AWS in previous roles, particularly in terms of reliability and performance enhancements.
✨Emphasise Ownership and Continuous Improvement
This role requires a mindset geared towards ownership and continuous improvement. Prepare to share examples of how you've taken initiative in past projects, implemented improvements, and contributed to team success. Show that you're proactive and committed to advancing data technology.
