At a Glance
- Tasks: Design and optimise data pipelines in AWS while supporting AI initiatives.
- Company: Join Sanderson Government & Defence, a leader in innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on modern data platforms.
- Why this job: Be at the forefront of AI and data engineering, making a real impact.
- Qualifications: 4-8+ years of experience with strong AWS skills and AI/ML exposure.
The predicted salary is between 55000 - 70000 £ per year.
Sanderson Government & Defence is looking for an experienced Business Intelligence Engineer / AWS Data Engineer to help develop a modern data platform and support AI initiatives. This role involves designing and optimising data pipelines in AWS and enhancing Business Intelligence analytics.
Ideal candidates will have 4-8+ years of experience, strong AWS skills, and practical exposure to AI/ML. The position is hybrid, primarily based in Swindon or London.
AI-Driven AWS Data Engineer | BI & Analytics employer: Sanderson Government & Defence
At Sanderson Government & Defence, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while being primarily based in vibrant locations like Swindon and London, offering employees access to a wealth of professional growth opportunities and cutting-edge projects in AI and data engineering. Join us to be part of a forward-thinking team that values your expertise and supports your career development in a meaningful way.
Contact Details:
Sanderson Government & Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven AWS Data Engineer | BI & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Sanderson Government & Defence. A friendly chat can give you insights and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AWS projects and AI initiatives. This will help us see your practical experience and how you can contribute to our data platform.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for any coding challenges or technical interviews. We want to see how you think and solve problems in real-time.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team at Sanderson Government & Defence.
We think you need these skills to ace AI-Driven AWS Data Engineer | BI & Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 modern data platform. Keep it engaging and personal!
Showcase Your Technical Skills:We’re looking for strong AWS skills, so don’t forget to mention specific tools and technologies you’ve worked with. If you’ve optimised data pipelines or enhanced BI analytics, let us know how you did it!
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 us!
How to prepare for a job interview at Sanderson Government & Defence
✨Know Your AWS Inside Out
Make sure you brush up on your AWS skills before the interview. Familiarise yourself with the latest features and best practices for designing and optimising data pipelines. Being able to discuss specific projects where you've used AWS will really impress them.
✨Showcase Your AI/ML Experience
Since this role involves supporting AI initiatives, be ready to talk about your practical exposure to AI and machine learning. Prepare examples of how you've implemented these technologies in past projects and the impact they had on business intelligence analytics.
✨Prepare for Technical Questions
Expect some technical questions that will test your knowledge and problem-solving skills. Practice explaining complex concepts in a simple way, as this will demonstrate your understanding and ability to communicate effectively with non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data platform challenges or future AI initiatives. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
