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- Tasks: Automate and scale key processes using Python and cloud infrastructure.
- Company: Dynamic data analytics company based in Greater London.
- Benefits: Competitive salary, flexible hours, remote work, and generous parental leave.
- Why this job: Join a diverse team and make a real impact in data analytics.
- Qualifications: 4+ years of experience in software engineering and expertise in data pipelines.
- Other info: Remote-first role with a focus on transparency and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A data analytics company in Greater London is seeking a skilled Software Engineer with 4+ years of experience to automate and scale key processes. The ideal candidate will have deep expertise in Python, cloud infrastructure, and data pipelines. This remote-first role offers competitive salary and benefits, including flexible working hours and generous parental leave. Join a diverse team committed to transparency and effective collaboration.
Remote-First Senior Data Backend Engineer in London employer: Count
Contact Detail:
Count Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote-First Senior Data Backend Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and cloud infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and backend engineering. Practising with a friend or using mock interview platforms can help us feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Remote-First Senior Data Backend Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, cloud infrastructure, and data pipelines in your application. We want to see how your skills align with what we’re looking for!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Backend Engineer role. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to the good stuff about your experience and achievements.
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 Count
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with cloud infrastructure and data pipelines. Prepare to share specific examples of how you've automated processes in previous roles.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle technical challenges during the interview. Think about past projects where you faced obstacles and how you overcame them. This will demonstrate your ability to think critically and adapt.
✨Understand Their Culture
Since this company values transparency and collaboration, think about how you can contribute to that environment. Be ready to discuss how you’ve worked effectively in diverse teams and how you communicate openly with colleagues.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategies and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
