At a Glance
- Tasks: Develop and maintain analytics-ready datasets in a cloud data warehouse.
- Company: Join Jet2.com Limited, a leading travel company with a focus on innovation.
- Benefits: Remote work, growth opportunities, and a supportive team environment.
- Other info: Exciting career development in a dynamic and collaborative setting.
- Why this job: Make an impact by transforming data into valuable insights for the business.
- Qualifications: Strong SQL skills and experience with data warehousing and cloud environments.
The predicted salary is between 40000 - 50000 £ per year.
Jet2.com Limited is seeking a Data & Analytics Engineer based in Leeds. The role focuses on developing and maintaining analytics-ready datasets within a cloud data warehouse. You will work closely with analytics and data teams to implement data transformations using SQL and dbt, ensuring quality and usability of data products.
Ideal candidates will have strong SQL skills, experience with data warehousing, and knowledge of cloud environments like AWS. This position offers opportunities for growth and development in data engineering.
Remote Analytics Data Engineer - Modern Stack & Growth in Leeds employer: Jet2 Com Limited
Jet2.com Limited is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Leeds. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in cloud data warehousing. Join us to be part of a supportive team that values your contributions and encourages professional development in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Analytics Data Engineer - Modern Stack & Growth in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the data and analytics field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any data transformations you've done. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when working with cloud environments like AWS, as this is key for roles like the one at Jet2.com.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Remote Analytics Data Engineer - Modern Stack & Growth in Leeds
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Talk About Your Data Warehousing Experience:If you've worked with data warehousing before, let us know! Share specific examples of how you've developed or maintained datasets, especially in cloud environments like AWS.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for the role.
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!
How to prepare for a job interview at Jet2 Com Limited
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL in detail, and maybe even solve a few problems on the spot. Practising common SQL queries and transformations will help you feel more confident.
✨Familiarise Yourself with dbt
Since this role involves using dbt for data transformations, it’s crucial to understand how it works. Review its features and be ready to explain how you've used dbt in past projects. If you can, try to showcase a project where you implemented dbt effectively.
✨Understand Cloud Data Warehousing
Get a good grasp of cloud environments, especially AWS, as they are key to this role. Research how data warehousing operates in the cloud and be prepared to discuss any relevant experience you have. Showing that you can navigate these environments will set you apart.
✨Show Your Collaborative Spirit
This position requires working closely with analytics and data teams, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated on data projects in the past. Emphasising your ability to communicate and work well with others will demonstrate that you're a great fit for their team.
