Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale data capabilities for Defence and Aerospace programmes using Python and SQL.
- Company: Leading technology firm in Reading with a focus on innovation.
- Benefits: Flexible hybrid working model and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the aerospace industry.
- Qualifications: Experience in aerospace engineering or operational data, plus strong Python and SQL skills.
- Other info: Dynamic role with the chance to work on complex datasets and machine learning.
The predicted salary is between 50000 - 65000 £ per year.
A leading technology firm in Reading is seeking a proactive Senior Data Engineer to build and scale data capabilities within a greenfield environment across critical Defence and Aerospace programmes. This role requires hands-on experience with aerospace engineering or operational data and a strong background in Python and SQL. The ideal candidate will work with complex datasets, design data solutions, and support machine learning workflows, with a hybrid working model offering flexibility.
Aerospace Data Engineer — Greenfield Platform Lead in Reading employer: CBSbutler Ltd.
Contact Detail:
CBSbutler Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Aerospace Data Engineer — Greenfield Platform Lead in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and defence sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This is your chance to demonstrate your hands-on experience with data solutions.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of machine learning workflows and complex datasets. We recommend mock interviews to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Aerospace Data Engineer — Greenfield Platform Lead in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with aerospace engineering and operational data. We want to see how your skills in Python and SQL can contribute to our greenfield platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about Defence and Aerospace programmes and how you can help us build and scale our data capabilities.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Share examples of complex datasets you've handled or machine learning workflows you've supported. We love seeing real-world applications of your skills.
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 this exciting opportunity!
How to prepare for a job interview at CBSbutler Ltd.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of aerospace engineering and operational data. Be prepared to discuss specific projects where you've worked with complex datasets, as this will show your hands-on experience and understanding of the field.
✨Showcase Your Python and SQL Skills
Since the role requires a strong background in Python and SQL, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples at the ready.
✨Understand Machine Learning Workflows
Familiarise yourself with machine learning workflows, as they are crucial for this position. Be prepared to discuss how you've supported or implemented these workflows in previous roles, highlighting your ability to integrate data solutions effectively.
✨Embrace the Hybrid Working Model
With a hybrid working model in place, it's important to express your adaptability and comfort with both remote and in-office work. Share any experiences that showcase your ability to thrive in flexible work environments, as this will resonate well with the interviewers.