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- Tasks: Develop and optimise scalable data pipelines for a leading travel tech company.
- Company: Join a top travel tech company in Manchester with a vibrant culture.
- Benefits: Enjoy flexible working, generous benefits, and industry-leading product discounts.
- Why this job: Make an impact in the travel industry while working with cutting-edge data technologies.
- Qualifications: 3+ years in data warehousing and scripting, with strong attention to detail.
- Other info: Hybrid working model with great opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading travel tech company in Manchester is seeking a Data Engineer II to develop and optimize scalable data pipelines. The ideal candidate will have over 3 years of experience in data warehousing and scripting in languages like Python. Strong attention to detail and excellent communication skills are key for this role. The position offers a hybrid working model with generous benefits, including flexible working arrangements and industry-leading product discounts.
Data Engineer II: Scalable Data Pipelines (Hybrid) in Manchester employer: Booking.com
Contact Detail:
Booking.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II: Scalable Data Pipelines (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry, especially those working at companies you’re interested in. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on. This gives potential employers a tangible look at what you can do, especially with Python and data warehousing.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers to technical questions and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer II: Scalable Data Pipelines (Hybrid) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data warehousing and scripting, especially with Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Attention to Detail: In a role like this, attention to detail is crucial. Make sure your application is free from typos and errors. We appreciate candidates who take the time to present their work neatly and professionally.
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at Booking.com
✨Know Your Data Inside Out
Make sure you brush up on your data warehousing concepts and the specific technologies mentioned in the job description. Be ready to discuss your experience with scalable data pipelines and how you've optimised them in previous roles.
✨Show Off Your Scripting Skills
Since Python is a key requirement, prepare to demonstrate your scripting abilities. You might be asked to solve a problem on the spot, so practice coding challenges or relevant projects that showcase your skills.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you may need to collaborate with non-technical teams. Remember, clarity can set you apart!
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the team you'll be working with. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
