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- 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 36000 - 60000 £ 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 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
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. 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 or a project that highlights your experience with data pipelines and Python. We want to see how you tackle real-world problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and data engineering concepts. We can help you find resources to nail those tricky questions.
✨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
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of how you've used data to drive decisions or improve processes. We love candidates who are genuinely excited about transforming operational signals into reliable data products.
Highlight Relevant Experience: Make sure to showcase your hands-on experience with tools like Palantir Foundry and Python. We want to know how you've applied these skills in real-world scenarios. Tailor your application to reflect the impact you've made in previous roles, especially in fast-paced environments.
Collaborate and Communicate: Since this role involves working with diverse teams, emphasise your collaboration skills in your application. Share instances where you’ve successfully worked with others to achieve a common goal. We value clear communication and teamwork, so don’t hold back!
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 you’ll be able to provide all the necessary details in one go. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 results.
✨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.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!
