At a Glance
- Tasks: Build and maintain data pipelines and automation tools for investment decisions.
- Company: Leading European VC focused on high-growth startups.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to innovative technologies.
- Why this job: Join a dynamic team and shape the future of investment with data-driven insights.
- Qualifications: 2+ years experience in data engineering with a strong STEM background.
The predicted salary is between 50000 - 65000 € per year.
Join a leading European VC building internal data products and automation tools that support investment decisions across high-growth startups.
What you’ll do:
- Build and maintain data pipelines and internal platforms
- Integrate APIs and external datasets
- Develop workflow automation and scalable services
- Improve system performance and operational efficiency
- Work closely with product, operations, and investment teams
What they’re looking for:
- Experience with GCP, BigQuery, dbt, and Cloud Functions
- Exposure to Terraform / DevOps
- Startup or scale-up background preferred
- 2+ years’ experience with a strong STEM background
Data Engineer | London (Hybrid) employer: Oliver Bernard
As a leading European venture capital firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. Our London-based team enjoys a hybrid working model, competitive benefits, and ample opportunities for professional growth, all while contributing to impactful investment decisions in high-growth startups. Join us to be part of a collaborative environment where your skills in data engineering will directly influence the future of emerging businesses.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | London (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, automation tools, or any projects you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your GCP, BigQuery, and dbt knowledge. Be ready to discuss how you've improved system performance in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us and making an impact in the data world.
We think you need these skills to ace Data Engineer | London (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, BigQuery, and other relevant tools. We want to see how your skills align with what we’re looking for, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in data engineering can help us build amazing internal data products. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool projects involving data pipelines or automation tools, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to startups or scale-ups.
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’s super easy!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, BigQuery, dbt, and Cloud Functions. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building data pipelines or automating workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to improve system performance.
✨Understand the Company’s Mission
Research the VC firm and their portfolio of startups. Knowing their investment focus and how your role as a Data Engineer can support their goals will impress the interviewers. It shows you’re genuinely interested in contributing to their success.
✨Be Ready for Technical Questions
Expect some technical questions or even a practical test related to Terraform or DevOps. Brush up on your coding skills and be prepared to explain your thought process. This will highlight your technical expertise and readiness for the role.