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- Tasks: Build data pipelines and develop ETL processes using AWS and modern programming languages.
- Company: Join a leading recruitment firm with a rapidly growing Cloud Data Platforms team.
- Benefits: Competitive salary up to £85,000 plus bonuses and opportunities for career growth.
- Why this job: Make an impact in data engineering while working with cutting-edge cloud technologies.
- Qualifications: Strong expertise in AWS and programming skills in Python and Java.
The predicted salary is between 68000 - 85000 £ per year.
A prominent recruitment firm is seeking an AWS Data Engineer to join a rapidly growing Cloud Data Platforms team. The role involves building data pipelines, developing ETL processes, and applying DevOps practices to streamline data engineering processes.
Candidates should have strong expertise in AWS and modern programming languages like Python and Java. This full-time position is based in London and offers competitive compensation of up to £85,000 DoE plus bonuses.
Cloud Data Platform Engineer - AWS, ETL & Pipelines London employer: Searchability
Contact Detail:
Searchability Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Platform Engineer - AWS, ETL & Pipelines London
✨Tip Number 1
Network like a pro! Reach out to folks in the Cloud Data Platforms space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, ETL processes, and any cool data pipelines you've built. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and Java skills, and be ready to discuss your DevOps practices. We want to see how you think and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Cloud Data Platform Engineer - AWS, ETL & Pipelines London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, ETL processes, and any relevant programming languages like Python and Java. We want to see how your skills match the role, 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 Cloud Data Platforms team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data projects or have experience with building data pipelines, make sure to mention them! We’re interested in seeing real examples of your work that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Searchability
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services like S3, Lambda, and Redshift, and how you've used them in past projects. This will show that you're not just familiar with AWS, but that you can leverage it effectively in real-world scenarios.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with ETL processes. Have examples ready where you've designed or optimised data pipelines. Discuss the tools you've used and any challenges you faced, along with how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Demonstrate Your Coding Skills
Since programming is a key part of this role, be prepared for technical questions or even a coding challenge. Brush up on Python and Java, and practice writing clean, efficient code. You might be asked to solve a problem on the spot, so think through your approach clearly and explain your thought process.
✨Emphasise DevOps Practices
Familiarise yourself with DevOps principles and how they apply to data engineering. Be ready to discuss any CI/CD tools you've used and how they've improved your workflow. Showing that you understand the importance of collaboration and automation in data engineering will set you apart from other candidates.