Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and support data solutions on AWS while developing scalable data pipelines.
- Company: Leading wellness retailer in London with a focus on innovation.
- Benefits: Hands-on experience, hybrid work environment, and opportunities for growth.
- Why this job: Kickstart your career in data engineering and make an impact in the wellness industry.
- Qualifications: Programming skills in Python and a passion for learning about data structures.
- Other info: Join a dynamic team and thrive in a supportive, collaborative atmosphere.
The predicted salary is between 28800 - 48000 £ per year.
A leading wellness retailer in London is seeking an Associate Data Engineer to join their Data & Analytics team. This entry-level position offers hands-on experience in designing and supporting data solutions on AWS.
Key responsibilities include:
- Developing scalable data pipelines
- Writing clean code
- Collaborating with cross-functional teams in a hybrid work environment
Ideal candidates will have:
- Programming skills in Python
- Understanding of data structures
- An eagerness to learn in a growing field
Junior Data Engineer: AWS Cloud & Data Pipelines in London employer: China-Britain Business Council
Contact Detail:
China-Britain Business Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer: AWS Cloud & Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 AWS and 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 interviews by brushing up on your Python skills and understanding data structures. Practice common interview questions and be ready to discuss how you've tackled challenges in your projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Junior Data Engineer: AWS Cloud & Data Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with data structures. We want to see what you've got, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Junior Data Engineer role. Mention how your skills align with developing scalable data pipelines and supporting data solutions on AWS.
Keep It Clean and Clear: When writing your application, keep your language clear and concise. We appreciate clean code, so let’s see that reflected in your writing too!
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!
How to prepare for a job interview at China-Britain Business Council
✨Know Your AWS Basics
Make sure you brush up on your AWS knowledge before the interview. Understand the core services like S3, EC2, and Lambda, as well as how they relate to data pipelines. This will show that you're not just eager to learn but also have a foundational understanding of the tools you'll be working with.
✨Showcase Your Python Skills
Prepare to discuss your programming experience in Python. Bring examples of projects or code snippets you've worked on, especially those related to data manipulation or pipeline development. Being able to talk through your thought process will impress the interviewers.
✨Understand Data Structures
Familiarise yourself with common data structures and their applications. Be ready to explain how different structures can impact the performance of data pipelines. This knowledge will demonstrate your analytical thinking and readiness for the role.
✨Emphasise Team Collaboration
Since this role involves working with cross-functional teams, be prepared to discuss your experiences collaborating with others. Share specific examples where you contributed to a team project, highlighting your communication skills and adaptability in a hybrid work environment.
