Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data systems to support product decisions.
- Company: Leading tech company in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Why this job: Join us to shape the future of AI infrastructure and push boundaries.
- Qualifications: Experience in Palantir Foundry and Python, with a passion for innovation.
- Other info: Collaborative environment with diverse teams and high-impact projects.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in London seeks a Data Engineer to design and build scalable data systems that directly support product decisions and platform reliability. This high-impact role involves collaborating with diverse teams to transform operational signals into reliable data products.
Ideal candidates will have hands-on experience in Palantir Foundry and Python, with a passion for innovation in a fast-paced environment. Join us to push boundaries and shape the future of AI infrastructure.
Data Engineer, Business Ops — Build Scalable Data Pipelines in London employer: Nscale
Contact Detail:
Nscale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Business Ops — Build Scalable Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and projects, especially those using Palantir Foundry and Python. This will help us demonstrate our hands-on experience and passion for innovation.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and data engineering concepts. We can use platforms like LeetCode or HackerRank to simulate real interview scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer, Business Ops — Build Scalable Data Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data systems and tools like Palantir Foundry and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data pipelines and how you can contribute to our mission at StudySmarter. Keep it engaging and personal.
Showcase Collaboration Skills: Since this role involves working with diverse teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing how you can transform operational signals into reliable data products with others!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Nscale
✨Know Your Tech Stack
Make sure you’re well-versed in Palantir Foundry and Python. Brush up on your technical skills and be ready to discuss specific projects where you've used these tools. This will show that you not only understand the technology but can also apply it effectively.
✨Showcase Your Collaboration Skills
Since this role involves working with diverse teams, prepare examples of how you've successfully collaborated in the past. Think about times when you transformed operational signals into data products and how you communicated with different stakeholders to achieve your goals.
✨Demonstrate Your Passion for Innovation
This company values innovation, so come prepared with ideas on how you could push boundaries in their data systems. Share any personal projects or experiences that highlight your creativity and willingness to experiment in a fast-paced environment.
✨Prepare Questions That Matter
At the end of the interview, you’ll likely have the chance to ask questions. Prepare thoughtful queries about the company's approach to AI infrastructure and how they envision the role of a Data Engineer evolving. This shows your genuine interest in the position and the company’s future.
