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- Tasks: Build and maintain secure data pipelines and systems for national security clients.
- Company: Leading digital intelligence company based in London with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a diverse team and make a real impact on national security through data solutions.
- Qualifications: Strong skills in SQL and Python programming, with a passion for collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital intelligence company in London is looking for a skilled data engineer. The successful candidate will build and maintain data systems, adhering to software engineering best practices. Strong skills in SQL and Python programming are essential. If you're ready to leverage your expertise in a collaborative environment that supports hybrid working, this opportunity is for you. Join a diverse and innovative team and contribute to enhancing data solutions for national security clients.
Data Engineer: Secure Data Pipelines & Cloud Ops employer: BAE Systems Digital Intelligence
Contact Detail:
BAE Systems Digital Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Secure Data Pipelines & Cloud Ops
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your SQL and Python prowess. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data engineering questions and coding challenges. We can help you find resources to ace them!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our innovative team.
We think you need these skills to ace Data Engineer: Secure Data Pipelines & Cloud Ops
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in real projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your experience aligns with our needs, especially in building and maintaining data systems.
Be Yourself: We’re all about collaboration and innovation, so let your personality shine through in your application. Share your passion for data engineering and how you can contribute to our diverse team.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you into the process!
How to prepare for a job interview at BAE Systems Digital Intelligence
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you can demonstrate your understanding of data systems and software engineering best practices.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach building secure data pipelines and managing cloud operations. Practising common data engineering scenarios can help you articulate your thought process clearly.
✨Emphasise Collaboration
Since this role involves working in a diverse team, be ready to share examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate complex ideas simply and your willingness to learn from teammates.
✨Research the Company and Its Clients
Familiarise yourself with the company’s mission and the national security clients they serve. Understanding their goals will allow you to tailor your answers and show how your skills can directly contribute to their success.
