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- Tasks: Implement data manipulation methodologies and engage in complex digital investigations.
- Company: Leading defence and aerospace company based in London.
- Benefits: Hybrid working options for a balanced work-life environment.
- Why this job: Join a secure site and work on exciting data science projects.
- Qualifications: Strong coding skills in Python and a background in computer science.
The predicted salary is between 36000 - 60000 £ per year.
A leading defense and aerospace company in London is looking for a Software Engineer. This role involves implementing various data manipulation methodologies and requires strong coding skills, particularly in Python. The ideal candidate should have a background in computer science and a solid understanding of data science techniques. In addition, the position offers hybrid working options allowing for a balanced work-life environment, while engaging in complex digital investigations on a secure site.
Hybrid Data Engineer: Python & Data Science in London employer: BAE Systems
Contact Detail:
BAE Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer: Python & Data Science in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and data science work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data manipulation and coding. Practise explaining your thought process clearly, as communication is key in these roles.
✨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 stay updated on new roles as they come in.
We think you need these skills to ace Hybrid Data Engineer: Python & Data Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any relevant data science experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your coding projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this hybrid Data Engineer role and how your skills can contribute to our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any data manipulation or engineering projects, include them in your application. We love seeing real examples of your work, especially if they demonstrate your problem-solving skills in Python.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at BAE Systems
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used, as well as any data manipulation techniques you're familiar with. Practising coding challenges can also help you feel more confident.
✨Showcase Your Data Science Knowledge
Prepare to talk about your understanding of data science techniques. Think about real-world examples where you've applied these methods. This will not only demonstrate your expertise but also show how you can contribute to their complex digital investigations.
✨Understand the Company’s Mission
Research the defence and aerospace industry, especially the company’s role within it. Understanding their projects and values will help you tailor your answers and show that you're genuinely interested in the position and the work they do.
✨Embrace the Hybrid Work Culture
Since this role offers hybrid working options, be prepared to discuss how you manage your time and productivity in a flexible work environment. Share any experiences you have with remote work and how you stay connected with your team.
