At a Glance
- Tasks: Support the development of scalable data pipelines using AWS and Python.
- Company: Leading wellness retailer focused on innovation and teamwork.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the wellness industry.
- Qualifications: Proficiency in Python and strong communication skills required.
- Other info: Office attendance needed two days a week in London.
The predicted salary is between 36000 - 60000 £ per year.
A prominent wellness retailer is looking for a candidate to support the development of scalable data pipelines and services using AWS technologies. The role requires programming skills in Python and strong communication skills to work collaboratively within a remote-friendly team. The ideal candidate will have a proactive mindset and eagerness to learn, contributing to clean code and infrastructure deployments. This role is based in London with required office attendance at least two days a week.
Hybrid Data Engineer Associate — AWS Pipelines & Python in London employer: Holland & Barrett
Contact Detail:
Holland & Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer Associate — AWS Pipelines & Python in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. 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 GitHub repository showcasing your Python projects and AWS pipeline work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your past experiences. Practising with a friend can help you feel more confident and articulate.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Hybrid Data Engineer Associate — AWS Pipelines & Python in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your programming skills in Python. We want to see how you've used Python in past projects, so don’t hold back on sharing specific examples that showcase your expertise!
Communicate Clearly: Since this role involves working in a remote-friendly team, strong communication is key. We recommend you demonstrate your ability to convey complex ideas simply and effectively in your application.
Be Proactive: We love candidates who take initiative! In your application, share instances where you’ve gone above and beyond or taken the lead on a project. This shows us you have the proactive mindset we’re looking for.
Apply Through Our Website: Don’t forget to apply 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 Holland & Barrett
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data pipelines. Familiarise yourself with services like AWS Lambda, S3, and Glue. Being able to discuss how you've used these technologies in past projects will show your practical experience.
✨Show Off Your Python Skills
Prepare to demonstrate your Python programming skills during the interview. You might be asked to solve a coding problem or explain your approach to writing clean, efficient code. Practising common algorithms and data structures can really help you shine.
✨Communicate Clearly and Confidently
Since this role involves working in a remote-friendly team, strong communication skills are key. Practice explaining your thought process clearly and concisely. Use examples from your past experiences to illustrate how you’ve effectively collaborated with others.
✨Embrace a Proactive Mindset
Demonstrate your eagerness to learn and adapt. Be ready to discuss how you stay updated with industry trends and new technologies. Showing that you’re proactive about your professional development will resonate well with the interviewers.