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- Tasks: Design and optimise secure data pipelines while collaborating with internal teams.
- Company: Leading defence organisation in the UK with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and substantial benefits.
- Why this job: Join a mission-driven team and make an impact in data engineering.
- Qualifications: Strong SQL and noSQL skills, plus Python development experience.
The predicted salary is between 36000 - 60000 £ per year.
A leading defence organisation in the United Kingdom is looking for an experienced Data Engineer to evaluate, design, deploy, improve, and support data sets and pipelines. You will collaborate with various internal customers to optimize and secure data solutions according to their needs.
The ideal candidate should possess strong SQL and noSQL skills, alongside knowledge in data processing and development in Python.
The role offers a hybrid working model, competitive salary, and substantial benefits.
Data Engineer - Secure, Scalable Pipelines + GenAI in Bolton employer: MBDA S.A.S.
Contact Detail:
MBDA S.A.S. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Secure, Scalable Pipelines + GenAI in Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your SQL, noSQL, and Python prowess. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineers and practice your answers. Be ready to discuss your experience with data processing and how you've optimised solutions in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Engineer - Secure, Scalable Pipelines + GenAI in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and noSQL skills, as well as your experience with Python. We want to see how your background aligns with the role of a Data Engineer, so don’t be shy about showcasing relevant projects!
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 mission. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data processing or pipeline development. We’re looking for candidates who can think critically and adapt to various internal customer needs.
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at MBDA S.A.S.
✨Know Your SQL and NoSQL Inside Out
Make sure you brush up on your SQL and NoSQL skills before the interview. Be prepared to discuss specific projects where you've used these technologies, and think about how you can explain complex concepts in simple terms.
✨Showcase Your Python Skills
Since Python is a key part of the role, be ready to talk about your experience with it. Bring examples of scripts or applications you've developed, and if possible, demonstrate your problem-solving approach using Python during the interview.
✨Understand Data Pipeline Design
Familiarise yourself with the principles of designing secure and scalable data pipelines. Be prepared to discuss your thought process when evaluating and improving data solutions, as well as any challenges you've faced and how you overcame them.
✨Collaborate and Communicate
This role involves working closely with internal customers, so highlight your collaboration skills. Think of examples where you've successfully worked with others to meet their data needs, and be ready to discuss how you handle feedback and adapt to different requirements.
