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- Tasks: Design and maintain high-performance data pipelines while collaborating with cross-functional teams.
- Company: Join KAYAK, a leading travel search engine transforming the way we explore the world.
- Benefits: Competitive salary, health benefits, flexible work options, and generous paid time off.
- Why this job: Be part of an innovative team using cutting-edge tech to shape the future of travel.
- Qualifications: 6+ years in data engineering, proficient in Python and SQL, and experience with AI coding tools.
- Other info: Dynamic, inclusive environment with opportunities for growth and collaboration.
The predicted salary is between 43200 - 46800 £ per year.
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.
We’re looking for a Data Engineer with a solid foundation in building robust data pipelines and a collaborative mindset to join our Marketing Data Engineering team. If you thrive in a fast-paced environment, enjoy working cross-functionally, and are eager to embrace change (especially innovations like AI coding assistants), this could be your next adventure!
In This Role You Will:
- Design, build, and maintain high-performance data pipelines and orchestration workflows
- Write clean, modular Python code to transform, parse, clean, and enrich large datasets
- Support stakeholders by developing dashboards and visualizations
- Partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs
- Actively participate in agile ceremonies, code reviews, and planning discussions
- Experiment with and use AI coding tools to boost productivity and code quality
Our Tech Stack:
- Languages: Python, SQL
- Workflow orchestration: Airflow
- Query engine: Trino
- Data warehouse: Vertica
- Source control: Git
- AI coding tools: Cursor
Please apply if you have:
- 6+ years of professional experience in data engineering
- Proficient in SQL and Python, and know how to write scalable, maintainable code
- Worked with AI coding tools and are excited about how they’re shaping the future of development
- Understand modern data architecture from ingestion to transformation to delivery
- Built and operated Airflow pipelines (or something similar)
- You’re comfortable estimating project scope, managing timelines, and delivering reliably
Soft Skills We Value:
- Excellent collaborator and communicator, comfortable working with technical and non-technical peers
- Solution-oriented and driven by curiosity
- Welcome change and innovation, and you’re quick to adapt your tools and practices
- Thrive in an international, fast-paced, and feedback-driven environment
At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That’s why we’re focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We’ve got you.
ETL Engineer in Cambridge employer: Kayak
Contact Detail:
Kayak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ETL Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at KAYAK on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've built data pipelines in the past and how you’ve used AI tools to enhance your work. Show them you’re the perfect fit!
✨Tip Number 3
Don’t just focus on technical skills; highlight your collaboration and communication abilities. KAYAK values teamwork, so share examples of how you’ve worked with cross-functional teams to deliver results.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the KAYAK team. Let’s get you that dream job!
We think you need these skills to ace ETL Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the ETL Engineer role. Highlight your experience with Python, SQL, and any relevant projects that showcase your data engineering skills. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working at KAYAK and how your background aligns with our mission. Let us know how you embrace innovation and change!
Showcase Your Collaboration Skills: Since we value collaboration, mention any experiences where you've worked cross-functionally or supported stakeholders. We love seeing how you communicate and work with both technical and non-technical peers.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Kayak
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, SQL, and Airflow. Be ready to discuss your experience with these tools and how you've used them to build data pipelines or solve problems in previous roles.
✨Showcase Collaboration Skills
Since this role involves working closely with marketing analysts and data scientists, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight your communication skills and how you adapt to different team dynamics.
✨Embrace Change and Innovation
KAYAK values innovation, so be prepared to discuss how you've embraced new technologies or methodologies in your work. Share specific instances where you've experimented with AI coding tools or other innovations to improve your productivity or code quality.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data architecture and pipeline management. Think of scenarios where you've had to estimate project scope, manage timelines, or troubleshoot issues, and be ready to walk through your thought process.