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- Tasks: Build and maintain scalable data pipelines using Snowflake and Databricks.
- Company: Limelight Health, a forward-thinking company in Newcastle upon Tyne.
- Benefits: Private healthcare, gym membership, and a comprehensive benefits package.
- Other info: Join a diverse team focused on nurturing talent and career growth.
- Why this job: Gain hands-on experience with real projects while developing your skills in data engineering.
- Qualifications: Exposure to data engineering through studies or projects and strong problem-solving skills.
The predicted salary is between 20000 - 30000 £ per year.
Limelight Health is seeking a Data Engineer in Newcastle upon Tyne to build and maintain scalable data pipelines using Snowflake and Databricks. The role involves developing modular ETL workflows and ensuring high-quality data.
Candidates should have exposure to data engineering through studies or projects and possess problem-solving skills.
The position offers a comprehensive benefits package including private healthcare and gym membership, with a focus on nurturing diverse talent.
Data & AI Engineering Apprenticeship — Real Projects employer: Limelight Health
Contact Detail:
Limelight Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineering Apprenticeship — Real Projects
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Limelight Health on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've worked on any data engineering projects, be ready to discuss them in detail. We want to hear about the challenges you faced and how you solved them.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Snowflake and Databricks. We recommend doing some hands-on practice to feel confident when discussing your experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data & AI Engineering Apprenticeship — Real Projects
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight any relevant experience you have with data engineering, especially if you've worked with tools like Snowflake or Databricks. We want to see how your studies or projects have prepared you for this role!
Tailor Your Application: Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect the specific skills and experiences that match the job description. It shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Limelight Health
✨Know Your Tech
Make sure you brush up on your knowledge of Snowflake and Databricks. Familiarise yourself with how they work, their features, and any recent updates. Being able to discuss these tools confidently will show that you're serious about the role.
✨Showcase Your Projects
Prepare to talk about any relevant projects or studies you've done related to data engineering. Highlight specific challenges you faced and how you solved them. This will demonstrate your problem-solving skills and practical experience.
✨Understand ETL Workflows
Since the role involves developing modular ETL workflows, make sure you can explain what ETL is and how it applies to data engineering. Be ready to discuss any experience you have with building or maintaining these workflows.
✨Emphasise Diversity and Teamwork
Limelight Health values diverse talent, so be prepared to discuss how you can contribute to a collaborative environment. Share examples of how you've worked in teams and embraced different perspectives in your projects.