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- Tasks: Manage and enhance large-scale database platforms for critical systems.
- Company: Leading tech organisation with a focus on research-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a talented team and make a real impact on vital database systems.
- Qualifications: Experience with relational databases and strong Python skills required.
- Other info: Dynamic work environment with a commitment to continuous improvement.
The predicted salary is between 48000 - 72000 £ per year.
A research driven technology organisation with one of the most demanding data environments in the market is expanding its database platform team. This group builds and operates the core database services that support research, engineering and business critical systems, and they are looking for an engineer who enjoys running complex data platforms at scale.
In this role you will take ownership of production database systems, improve how they are designed, operated and automated, and work closely with engineers and researchers to ensure performance and reliability keep pace with growth. You will be joining a technically strong team that values clear thinking, high standards and practical engineering.
Responsibilities:- You will operate and evolve large scale database platforms, ensuring they are reliable, performant and resilient under real workloads.
- Run and improve production deployments across on premises and AWS using technologies such as PostgreSQL, SQL Server, MySQL and modern distributed database platforms.
- Automate provisioning, upgrades, replication and monitoring using Python and infrastructure as code.
- Tune performance, improve indexing and storage design, and remove operational bottlenecks.
- You will improve operational visibility and monitoring so issues are detected early and fixed at the root cause rather than masked.
- Strong experience running relational databases in production and a solid understanding of internals such as query execution, replication and concurrency.
- Experience operating systems at scale, with a focus on reliability, recovery and predictable performance.
- Confidence working on Linux and writing Python to automate operational workflows.
- Experience with infrastructure as code, deployment tooling and cloud platforms used to run production databases.
- A mindset of ownership, long term stability and continuous improvement.
If you enjoy working close to the core of a highly technical organisation and want responsibility for database systems that genuinely matter, this role offers that opportunity.
Senior Database Engineer in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Database Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Arcus Search on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with database systems. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Be ready to discuss real-world scenarios! Think about challenges you've faced with database performance or reliability, and how you tackled them. This shows you're not just book-smart but also practical.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Arcus Search.
We think you need these skills to ace Senior Database Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with relational databases and any relevant technologies like PostgreSQL or AWS. We want to see how your skills align with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about database engineering and how you can contribute to our team. Share specific examples of past projects where you've improved performance or reliability.
Showcase Your Technical Skills: Don’t forget to mention your experience with Python and infrastructure as code. We’re looking for someone who can automate workflows and improve operational visibility, so highlight any relevant projects you've worked on.
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 don’t miss out on any important updates from our team!
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, SQL Server, and MySQL. Be ready to discuss their internals, like query execution and replication, as this will show your depth of understanding and experience.
✨Showcase Your Automation Skills
Prepare examples of how you've used Python for automating operational workflows. Discuss any experience with infrastructure as code and deployment tooling, as this is crucial for the role and demonstrates your ability to improve efficiency.
✨Demonstrate Problem-Solving Mindset
Think of specific instances where you've tackled performance issues or operational bottlenecks in database systems. Highlight your approach to identifying root causes and implementing long-term solutions, which aligns with the company's focus on reliability and continuous improvement.
✨Be Ready for Technical Challenges
Expect technical questions or scenarios during the interview that test your knowledge of operating systems at scale. Practise explaining your thought process clearly, as clear communication is valued in a technically strong team.
