Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Automate processes and manage data infrastructure for a fast-growing analytics company.
- Company: Dynamic analytics firm in London with a focus on innovation.
- Benefits: Competitive salary, 28 days holiday, and remote work options.
- Why this job: Join a diverse team and make a real impact in the world of automation and AI.
- Qualifications: 4+ years of backend experience and strong Python skills.
- Other info: Exciting opportunities for career growth in a transparent working environment.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing analytics company in London is seeking an exceptional software engineer to drive its growth. In this role, you'll work on automating processes and managing data infrastructure, contributing to a transparent and efficient working environment.
We welcome candidates with at least 4 years of backend experience and a strong foundation in Python. Excellent benefits include a competitive salary and 28 days of holiday. Remote work is encouraged, and we're keen on building a diverse team.
Senior Data Backend Engineer: Automation & AI in London employer: Count
Contact Detail:
Count Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Backend Engineer: Automation & AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 related to automation and data management. This will give us a clear picture of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI and automation. We love candidates who can demonstrate their technical prowess and share insights on how they can contribute to our growth.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our diverse team and contributing to a transparent working environment.
We think you need these skills to ace Senior Data Backend Engineer: Automation & AI in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your backend experience, especially if you've got 4 years or more under your belt. We want to see how your skills in Python can help us automate processes and manage data infrastructure.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your background aligns with our mission of creating a transparent and efficient working environment. We love seeing candidates who take the time to connect their experience with what we do.
Be Yourself: We’re all about building a diverse team, so let your personality shine through in your application. Share your unique perspective and experiences that make you a great fit for our culture at StudySmarter.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. 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 Count
✨Know Your Python Inside Out
Since the role requires a strong foundation in Python, make sure you brush up on your skills. Be prepared to discuss your past projects and how you've used Python to solve complex problems, especially in automation and data management.
✨Showcase Your Automation Experience
Highlight any experience you have with automating processes. Prepare specific examples of how you've improved efficiency in previous roles. This will demonstrate your ability to contribute to a transparent and efficient working environment.
✨Understand Data Infrastructure
Familiarise yourself with data infrastructure concepts relevant to the role. Be ready to discuss how you've managed or optimised data systems in the past, as this will show your capability to handle the responsibilities of the position.
✨Embrace Diversity and Remote Work
Since the company values diversity and encourages remote work, be prepared to discuss how you can contribute to a diverse team. Share your thoughts on collaboration in a remote setting and how you adapt to different working styles.
