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- Tasks: Develop data governance standards and manage data quality for a leading airline.
- Company: Join a top low-cost airline in the UK with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive pay, and great perks.
- Why this job: Make an impact in the data field while working with cutting-edge technology.
- Qualifications: Strong Python and SQL skills, plus familiarity with AWS or GCP.
- Other info: Perfect for those looking to grow in a collaborative and dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading low-cost airline in the UK is looking for a Data Analytics Engineer to enhance their data-driven initiatives. The role involves developing data governance standards, managing data quality and facilitating efficient resource use.
Ideal candidates will possess strong Python and SQL skills, be familiar with cloud platforms like AWS or GCP, and have a collaborative mindset.
This exciting opportunity offers a hybrid working environment and competitive benefits, making it a great fit for innovative professionals looking to grow in the data field.
Data Analytics Engineer: Data Pipelines & Lakehouse employer: easyJet Airline Company PLC
Contact Detail:
easyJet Airline Company PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer: Data Pipelines & Lakehouse
✨Tip Number 1
Network like a pro! Reach out to current employees at the airline or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your Python and SQL expertise. This hands-on demonstration can really set us apart during interviews.
✨Tip Number 3
Be ready to discuss data governance! Brush up on best practices and be prepared to share how you’ve tackled data quality issues in the past. It shows we’re serious about the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Analytics Engineer: Data Pipelines & Lakehouse
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any experience with cloud platforms like AWS or GCP. We want to see how your background aligns with the role of a Data Analytics Engineer!
Craft a Compelling Cover Letter: Use your cover letter to showcase your collaborative mindset and passion for data-driven initiatives. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Relevant Projects: If you've worked on any data pipelines or governance projects, be sure to mention them! We love seeing real examples of your work that demonstrate your skills and innovative thinking.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. This way, we can easily track your application and get back to you quickly. We can't wait to hear from you!
How to prepare for a job interview at easyJet Airline Company PLC
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data governance and quality management.
✨Familiarise with Cloud Platforms
Since the role involves cloud platforms like AWS or GCP, do some research on their features and benefits. You might be asked about your experience with these platforms, so having specific examples ready will show your expertise.
✨Show Your Collaborative Spirit
This position values a collaborative mindset, so think of examples where you've worked effectively in a team. Be prepared to discuss how you handle differing opinions and contribute to group success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data initiatives and how they measure success. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
