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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 in London 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 in London
✨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. Think about how you’d tackle real-world problems using AWS. We want to see your proactive mindset in action!
✨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 genuinely interested in joining our supportive team.
We think you need these skills to ace Associate Data Engineer — AWS 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 SQL. We want to see how you can contribute to our data solutions, so don’t hold back!
Be Proactive: In your application, let us know about times you've taken initiative or solved problems on your own. A proactive mindset is key for this role, and we love seeing that in candidates.
Tailor Your Application: Take a moment to customise your application for the Associate Data Engineer position. Mention how your background aligns with developing data solutions on AWS and collaborating with teams. It shows us you’re genuinely interested!
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 in our supportive team environment.
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 technical competence and enthusiasm for the role.
✨Understand AWS Basics
Since the position involves developing data solutions on AWS, it’s crucial to have a basic understanding of AWS services related to data engineering. Familiarise yourself with services like S3, Redshift, and Lambda, and be prepared to discuss how they can be used in data pipelines.
✨Show Your Collaborative Spirit
This role requires collaboration with Data Science and BI teams, so be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to group projects or solved problems collectively.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data infrastructure and team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and career goals.
