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- Tasks: Design and maintain high-performance data pipelines and create stunning data visualisations.
- Company: Join a leading travel search engine in the vibrant city of Cambridge.
- Benefits: Enjoy a competitive salary, health insurance, and generous paid time off.
- Why this job: Make an impact in the travel industry while working with cutting-edge data technologies.
- Qualifications: Over 6 years of data engineering experience, proficient in SQL and Python.
- Other info: Collaborative team environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading travel search engine is seeking a Data Engineer to join their team in Cambridge. This role involves designing and maintaining high-performance data pipelines, writing Python code, and developing data visualizations.
Applicants should have over 6 years of experience in data engineering, proficiency in SQL and Python, and the ability to collaborate effectively across teams.
The company offers a competitive salary and a range of benefits including health insurance and paid time off.
Data Engineer: Build Scalable Pipelines & AI Dashboards in Cambridge employer: Kayak
Contact Detail:
Kayak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & AI Dashboards in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and visualisations. This is your chance to demonstrate your Python and SQL prowess in a way that words on a CV can't.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Think about how you'd tackle them and be ready to discuss your past experiences. We want to see your problem-solving skills in action!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & AI Dashboards in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. 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 you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data pipelines or visualisations, make sure to mention them! We’re keen to see examples of your work that demonstrate your ability to build scalable solutions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Kayak
✨Know Your Data Pipelines
Make sure you can discuss your experience with designing and maintaining data pipelines in detail. Be ready to explain the challenges you've faced and how you overcame them, as this will show your problem-solving skills.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve a coding challenge or explain your previous projects. Brush up on relevant libraries and frameworks that are commonly used in data engineering.
✨SQL is Key
Since SQL is crucial for this role, ensure you can write complex queries and understand database design. Practise common SQL interview questions and be prepared to discuss how you've used SQL in past projects.
✨Collaboration is Crucial
Highlight your ability to work across teams. Think of examples where you've collaborated with others, especially in cross-functional settings. This will demonstrate that you can communicate effectively and contribute to a team environment.
