At a Glance
- Tasks: Build and maintain data pipelines while developing automation tools for investment decisions.
- Company: Join a leading European VC focused on high-growth startups.
- Benefits: Competitive salary up to £85k, bonus, and hybrid working in Central London.
- Other info: Dynamic startup environment with opportunities for growth and collaboration.
- Why this job: Make an impact by supporting innovative investments with your data engineering skills.
- Qualifications: Strong Python and GCP experience, plus a background in STEM.
The predicted salary is between 85000 - 85000 € 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:
- Strong Python experience
- Experience with GCP, BigQuery, dbt, and Cloud Functions
- Exposure to Terraform / DevOps
- Full-stack data engineering experience
- Startup or scale-up background preferred
- 2+ years’ experience with a strong STEM background
Salary up to £85k + bonus. 3 days on site in Central London. 3 stage process.
Data Engineer | London (Hybrid) employer: Oliver Bernard
Join a dynamic and innovative team at a leading European VC, where you will have the opportunity to work on cutting-edge data products that directly influence investment decisions in high-growth startups. With a strong emphasis on collaboration, our hybrid work culture fosters creativity and flexibility, while offering competitive salaries and bonuses, as well as ample opportunities for professional growth in the heart of Central London.
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 people in the industry, especially those working at startups or scale-ups. A friendly chat can lead to insider info about job openings and even referrals.
✨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 and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and GCP knowledge. Be ready to discuss how you've integrated APIs or improved system performance in past roles. Confidence in your technical skills is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
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 Python, GCP, and any relevant tools like dbt or Terraform. We want to see how your skills match what we're looking for, so don’t be shy about showcasing your full-stack data engineering experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for data engineering and how your background in startups or scale-ups has prepared you for this role. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or automating workflows, we love to see real examples of your work that demonstrate your skills and creativity.
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 us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, GCP, BigQuery, and dbt. Brush up on your knowledge of Cloud Functions and Terraform too. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Think about examples where you improved system performance or operational efficiency. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Mission
Research the VC firm and their portfolio of startups. Understanding their investment strategy and how your role as a Data Engineer fits into their goals will help you align your answers with what they value. It shows genuine interest and helps you stand out.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about their current data projects or how they envision the role evolving. This not only shows your enthusiasm but also gives you insight into whether this is the right fit for you.
