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- Tasks: Drive the development of an AI-native data platform and enhance data pipelining.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, equity options, and hybrid working policy.
- Why this job: Join a fast-paced team creating innovative solutions in data orchestration.
- Qualifications: Over five years of software engineering experience and strong Python skills.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in the UK is seeking a Product/Backend Software Engineer to drive the development lifecycle and enhance their AI-native data pipelining platform. Candidates should have over five years of experience in software engineering and strong skills in Python. The role offers a hybrid working policy with a competitive salary and equity options. Join a fast-paced team focused on creating innovative solutions for data orchestration and observability.
Senior Backend Engineer - AI-Powered Data Platform in England employer: Orchestra
Contact Detail:
Orchestra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer - AI-Powered Data Platform in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at companies you're interested in. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview! Research common backend engineering questions and practice coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Backend Engineer - AI-Powered Data Platform in England
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your five-plus years of experience in software engineering. We want to see how your background aligns with the role, especially your skills in Python and any relevant projects you've worked on.
Tailor Your Application: Don’t just send a generic application! We love it when candidates customise their CVs and cover letters to reflect the job description. Mention your experience with AI-native platforms or data pipelining if you have it!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that make you a great fit for our team.
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, it shows you’re keen on joining our fast-paced team!
How to prepare for a job interview at Orchestra
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other technologies mentioned in the job description. Brush up on your knowledge of AI and data pipelining concepts, as you might be asked to discuss how you've applied these in past projects.
✨Showcase Your Experience
With over five years of experience required, prepare specific examples from your previous roles that highlight your contributions to software engineering. Be ready to discuss challenges you faced and how you overcame them, especially in a fast-paced environment.
✨Understand the Company’s Vision
Research the company’s AI-native data platform and its impact on data orchestration and observability. This will not only help you answer questions more effectively but also show your genuine interest in their mission and products.
✨Prepare Questions
Have a list of insightful questions ready to ask at the end of the interview. Inquire about the team dynamics, the development lifecycle they follow, or how they measure success in their projects. This shows you’re engaged and thinking critically about the role.
