Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and scale backend systems for high-throughput data ingestion.
- Company: Fast-growing Series A company in Greater London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Thriving environment with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and work on cutting-edge ML-driven projects.
- Qualifications: Strong Python skills and experience with scalable data pipelines.
The predicted salary is between 60000 - 80000 £ per year.
A high-growth Series A company in Greater London is seeking a Backend Engineer to develop and scale backend systems for high-throughput data ingestion. You will work closely with ML teams to deploy data-led features into production and enhance system observability and scalability.
The ideal candidate will have:
- Strong Python experience
- Proven skills in building scalable data pipelines
- Familiarity with cloud platforms such as AWS and GCP
This role demands comfort in a fast-paced, product-driven environment.
Senior Backend Data Engineer - Scalable ML-Driven Platform in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Data Engineer - Scalable ML-Driven Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable data pipelines and cloud platforms. This gives us a chance to see your work in action and how you tackle real-world problems.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python skills and be ready to discuss your experience with high-throughput data ingestion. We want to see how you think and solve problems, so practice coding challenges and system design questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Backend Data Engineer - Scalable ML-Driven Platform in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python experience in your application. We want to see how you've used Python to build scalable data pipelines and any cool projects you've worked on that showcase your skills.
Talk About Your Cloud Experience: If you've got experience with AWS or GCP, don't hold back! Share specific examples of how you've leveraged these platforms in your previous roles. This will help us understand how you can contribute to our ML-driven platform.
Demonstrate Your Problem-Solving Skills: In a fast-paced environment like ours, problem-solving is key. Use your application to tell us about challenges you've faced in backend development and how you tackled them. We love seeing creative solutions!
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. We can’t wait to hear from you!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the cloud platforms mentioned, like AWS and GCP. Brush up on your knowledge of scalable data pipelines and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in high-throughput data ingestion. Think about scenarios where you improved system observability or scalability, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the company’s goals and how they align with your skills. Be prepared to discuss how you can contribute to their mission of developing a scalable ML-driven platform, showing that you’re not just a fit for the role but also for the company culture.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current challenges with backend systems or how they envision the collaboration between backend and ML teams, which shows you're engaged and forward-thinking.