At a Glance
- Tasks: Process, store, and serve data while building and improving data flows.
- Company: Leading digital intelligence company in London with a supportive culture.
- Benefits: Flexible work arrangements and a variety of employee benefits.
- Why this job: Make an impact by collaborating on data-driven projects that matter.
- Qualifications: Proficiency in SQL and Python with a strong understanding of business data needs.
- Other info: Full-time position with excellent growth opportunities in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading digital intelligence company in London is seeking a Data Engineer to process, store and serve data. The role involves building and improving data flows, collaborating with teams, and utilizing skills in SQL and Python. Successful candidates will demonstrate a clear understanding of business data needs and ensure data outputs meet these requirements.
This is a full-time position offering flexible work arrangements, a supportive company culture, and a variety of employee benefits.
Data Engineer — Hybrid (UK/Europe) with Growth & Impact employer: BAE Systems (New)
Contact Detail:
BAE Systems (New) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Hybrid (UK/Europe) with Growth & Impact
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and how you can contribute to their data needs.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data flows and how you’ve collaborated with teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can make an impact. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer — Hybrid (UK/Europe) with Growth & Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've worked on. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. We love seeing candidates who understand our business data needs and can articulate their vision.
Showcase Collaboration Skills: Since this role involves working closely with teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at BAE Systems (New)
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you've built or improved data flows. This will show that you understand the technical requirements of the role.
✨Understand Business Needs
Research the company and its data needs. Familiarise yourself with their products and services, and think about how your role as a Data Engineer can impact their business. Being able to articulate how you can meet their data requirements will set you apart from other candidates.
✨Collaboration is Key
Since the role involves working with various teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve a common goal, and highlight your communication skills. This will demonstrate that you're a team player who can thrive in their supportive culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's data strategy, the tools they use, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.