At a Glance
- Tasks: Build and maintain data pipelines to support investment decisions.
- Company: Join a dynamic venture capital firm focused on innovative startups.
- Benefits: Competitive salary, flexible working hours, and growth opportunities.
- Other info: Collaborative culture with a focus on technology and automation.
- Why this job: Make a real impact in a fast-paced environment with exciting projects.
- Qualifications: Strong Python skills and a solid STEM background required.
The predicted salary is between 60000 - 80000 € per year.
This is a unique opportunity to join a highly entrepreneurial environment where technology is used to create internal tools, automate workflows, and build data products that directly support investment decisions and portfolio growth across some of Europe’s most exciting startups.
The role will suit someone who enjoys solving complex problems, working across a broad data stack, and operating in a fast-moving, high-impact environment.
- Building and maintaining data pipelines and internal data products
- Improving performance, scalability, and operational efficiency across the tech stack
- Strong Python engineering experience
- Exposure to DevOps / Infrastructure as Code (Terraform ideally)
- Experience building across the full data stack
- Strong STEM academic background
Data Engineer - London - Venture Capital employer: Oliver Bernard
Join a dynamic and innovative team in London where your contributions as a Data Engineer will directly influence the growth of exciting startups. Our entrepreneurial culture fosters collaboration and creativity, offering ample opportunities for professional development and the chance to work with cutting-edge technology in a fast-paced environment. Enjoy competitive benefits and a supportive atmosphere that values your input and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - London - Venture Capital
✨Tip Number 1
Network like a pro! Reach out to people in the venture capital space or data engineering roles on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and data pipelines. This is your chance to shine and demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of DevOps practices. We recommend practicing with real-world scenarios to show you can handle the fast-paced environment.
✨Tip Number 4
Don’t forget to 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 that extra step!
We think you need these skills to ace Data Engineer - London - Venture Capital
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python engineering experience and any work you've done with data pipelines. We want to see how you can solve complex problems and improve performance, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention your experience with DevOps or Infrastructure as Code, especially if you've used Terraform. We love seeing candidates who align their skills with what we’re looking for.
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 experiences and achievements. This helps us understand your fit for the role quickly.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our entrepreneurial environment.
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Stack
Make sure you’re well-versed in the full data stack. Brush up on your knowledge of data pipelines, internal data products, and how they support investment decisions. Be ready to discuss specific projects where you've built or maintained these systems.
✨Showcase Your Python Skills
Since strong Python engineering experience is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Familiarise Yourself with DevOps
If you have exposure to DevOps or Infrastructure as Code, especially Terraform, make sure to highlight that. Be prepared to discuss how you’ve used these tools to improve performance and scalability in past projects.
✨Emphasise Problem-Solving Skills
This role is all about solving complex problems in a fast-paced environment. Think of examples from your past experiences where you tackled tough challenges, and be ready to share how you approached them and what the outcomes were.
