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- Tasks: Develop data solutions on AWS and collaborate with Data Science and BI teams.
- Company: Leading health and wellness retailer in Greater London.
- Benefits: Well-being benefits, growth opportunities, and a supportive team environment.
- Why this job: Kickstart your career in data engineering and make a difference in health and wellness.
- Qualifications: Programming skills in Python and working knowledge of SQL required.
- Other info: Entry-level position with excellent career growth potential.
The predicted salary is between 28800 - 48000 £ per year.
A leading health and wellness retailer in Greater London is seeking an Associate Data Engineer. This entry-level position involves developing data solutions on AWS, collaborating with teams in Data Science and BI, and contributing to scalable data infrastructures.
Candidates should possess programming skills in Python, working knowledge of SQL, and a proactive mindset.
The role offers well-being benefits, opportunities for growth, and a supportive team environment.
Associate Data Engineer — AWS Data Pipelines employer: Holland and Barrett
Contact Detail:
Holland and Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Engineer — AWS Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AWS and data engineering. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any SQL queries you've crafted. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practicing coding challenges and discussing your thought process out loud to demonstrate your problem-solving skills.
✨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 Associate Data Engineer — AWS Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any SQL knowledge you have. We want to see how you can contribute to our data solutions, so don’t hold back!
Be Proactive: Since we’re looking for a proactive mindset, share examples of when you've taken the initiative in past projects or studies. This will show us that you’re ready to jump into the role and make an impact.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background aligns with developing data solutions on AWS and collaborating with teams. It’ll help us see you as a great fit!
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 our team!
How to prepare for a job interview at Holland and Barrett
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects or coursework, as this will show your practical understanding and readiness for the role.
✨Understand AWS Basics
Since the position involves developing data solutions on AWS, take some time to familiarise yourself with AWS services related to data pipelines. Knowing the basics of services like S3, Lambda, and Redshift can give you an edge and demonstrate your enthusiasm for the role.
✨Show Your Collaborative Spirit
This role requires collaboration with Data Science and BI teams, so be prepared to share examples of how you've worked effectively in a team setting. Highlight any group projects or experiences where you contributed to a shared goal.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how the company supports professional growth. This shows your interest in the role and helps you gauge if it's the right fit for you.
