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- Tasks: Design and build data pipelines using Databricks and cloud technologies.
- Company: Join a forward-thinking company that values collaboration and innovation.
- Benefits: Attractive salary, remote work options, and continuous learning opportunities.
- Other info: Exciting career growth in a supportive environment.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: Experience with Databricks, Azure or AWS, SQL, and Python required.
The predicted salary is between 60000 - 75000 £ per year.
Peaple Talent is looking for a Data Engineer in Manchester specializing in Databricks. The ideal candidate should have experience in data engineering, particularly with Microsoft Azure or AWS, and skills in SQL and Python.
The role offers a salary between £60,000 and £75,000 depending on experience, along with opportunities for remote work and professional development within a collaborative culture.
Databricks Data Engineer - Hybrid (Manchester) | Growth & L&D employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer - Hybrid (Manchester) | Growth & L&D
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field, especially those who work with Databricks. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using SQL and Python. When you apply through our website, include links to your work so potential employers can see what you're capable of.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data engineering concepts and be ready to solve problems on the spot. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Databricks Data Engineer - Hybrid (Manchester) | Growth & L&D
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, and Python. 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 passionate about data engineering and how you can contribute to our collaborative culture at StudySmarter. Keep it engaging and personal.
Showcase Your Technical Skills: Since this role focuses on data engineering, make sure to include specific examples of your work with Microsoft Azure or AWS. We love seeing how you’ve tackled challenges in past projects, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Peaple Talent
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Familiarise yourself with its features, functionalities, and how it integrates with Azure or AWS. Being able to discuss specific use cases or projects where you've utilised Databricks will really impress the interviewers.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks. Having examples ready from your past work can also help showcase your skills effectively.
✨Understand the Company Culture
Peaple Talent values collaboration and professional development, so be ready to discuss how you thrive in team environments. Think of examples where you've contributed to a team's success or taken part in learning opportunities, as this aligns well with their culture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the company. Inquire about their current projects using Databricks or how they support employee growth and learning. This shows your genuine interest in the position and helps you assess if it's the right fit for you.