Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using PySpark and SQL.
- Company: Join a leading wellness brand focused on innovation and data quality.
- Benefits: Enjoy hybrid work flexibility and a supportive team environment.
- Why this job: Be part of a dynamic team driving data-driven decisions in wellness.
- Qualifications: Experience with data engineering tools and collaboration skills required.
- Other info: Exciting opportunity for growth in a modern data platform.
The predicted salary is between 36000 - 60000 £ per year.
A leading wellness brand in the UK is seeking a Data Engineer to be a core part of their IT Support, Infrastructure & Security team. The role involves designing and maintaining scalable data pipelines using tools like PySpark and SQL, collaborating with cross-functional teams, and contributing to a data-driven business approach. The position offers hybrid work flexibility, allowing for a balance of office and remote work. This is an exciting opportunity to join a dynamic team dedicated to data quality and innovation.
Data Engineer - Hybrid, Modern Data Platform & MVPs employer: ELEMIS
Contact Detail:
ELEMIS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Hybrid, Modern Data Platform & MVPs
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipeline designs using PySpark and SQL. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer - Hybrid, Modern Data Platform & MVPs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, PySpark, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our data-driven approach. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so share examples that demonstrate your ability to work well with others.
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!
How to prepare for a job interview at ELEMIS
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like PySpark and SQL. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these technologies in past projects.
✨Showcase Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples that highlight your teamwork experience. Think about times when you successfully collaborated with others to solve a problem or improve a process.
✨Emphasise Data Quality
This position is all about maintaining data quality. Be prepared to talk about your approach to ensuring data integrity and accuracy in your previous roles. Share specific strategies or tools you’ve used to monitor and improve data quality.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data-driven initiatives or how they measure success in their data projects. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
