At a Glance
- Tasks: Design and deliver advanced data engineering solutions on AWS, building real-time data pipelines.
- Company: Leading technology company in the UK with a focus on innovation.
- Benefits: Hybrid work environment and opportunities for career growth.
- Why this job: Join a dynamic team and work with cutting-edge AWS technologies.
- Qualifications: Strong experience with AWS data ecosystem and skills in Python or SQL.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in the United Kingdom is seeking a highly skilled Senior AWS Data Engineer. In this role, you will design and deliver advanced data engineering solutions on the AWS platform, building batch and real-time data pipelines with AWS services.
Ideal candidates will have strong experience with the AWS data ecosystem, and skills in Python or SQL. This position offers opportunities for career growth and a hybrid work environment.
Senior AWS Data Engineer — Real-Time Pipelines in Leicester employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer — Real-Time Pipelines in Leicester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, especially those involving real-time data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AWS Data Engineer — Real-Time Pipelines in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and data engineering. We want to see how your skills in Python or SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and how you’ve tackled real-time data challenges in the past. Keep it engaging!
Showcase Your Projects: If you've worked on any cool data pipelines or AWS projects, make sure to mention them! We love seeing practical examples of your work that demonstrate your expertise and creativity.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at IBM
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of the AWS data ecosystem. Be prepared to discuss specific services like Kinesis, Lambda, and Redshift, and how you've used them in past projects. This will show that you’re not just familiar with AWS but can also leverage it effectively.
✨Showcase Your Coding Skills
Since Python and SQL are key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising common coding challenges can really help you shine.
✨Prepare Real-Time Pipeline Examples
Think of specific examples where you've designed and delivered real-time data pipelines. Be ready to discuss the challenges you faced, how you overcame them, and the impact your solutions had on the business. This will highlight your hands-on experience and problem-solving abilities.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company’s data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.