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- Tasks: Build and optimise a sophisticated data platform for real-world asset insights.
- Company: High-growth Series A company at the forefront of data engineering.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with significant career advancement potential.
- Why this job: Join a team transforming complex data into actionable insights with cutting-edge technology.
- Qualifications: Experience in backend engineering and data infrastructure is essential.
The predicted salary is between 60000 - 80000 £ per year.
OB are currently working with a high-growth Series A company building a sophisticated data platform used to monitor and generate insights across a portfolio of real-world assets. Their product sits at the intersection of backend engineering, data infrastructure, and applied machine learning, turning complex, large-scale datasets into meaningful, actionable outputs.
Senior BE/ Data Engineer - London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BE/ Data Engineer - London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering and data infrastructure. We want to see how you’ve turned complex datasets into actionable insights – it’ll make you stand out!
✨Tip Number 3
Prepare for those interviews! Research the company and their product thoroughly. We suggest practising common technical questions related to data engineering and machine learning, so you can confidently demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals who can help us build amazing data platforms.
We think you need these skills to ace Senior BE/ Data Engineer - London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your backend engineering and data infrastructure skills. We want to see how your experience aligns with our mission of turning complex datasets into actionable insights.
Be Specific: Don't just list your previous roles; give us specific examples of projects you've worked on. Tell us about the challenges you faced and how you overcame them. This helps us understand your problem-solving abilities and technical expertise.
Tailor Your Application: Make sure to tailor your application to our company and the role. Use keywords from the job description and show us why you're a perfect fit for our high-growth environment. We love seeing candidates who take the time to connect their experience with what we do.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description. Brush up on your knowledge of backend engineering, data infrastructure, and applied machine learning. Be ready to discuss how you've used these skills in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach turning complex datasets into actionable insights. Use examples from your experience to illustrate your thought process and problem-solving abilities.
✨Understand the Company’s Product
Research the company’s data platform and its applications. Familiarise yourself with how it monitors and generates insights across real-world assets. This will not only help you answer questions but also show your genuine interest in their work.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the company. Inquire about their data challenges or future projects. This shows that you’re not just interested in the position, but also in contributing to their success.