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- Tasks: Design and maintain high-performance data pipelines while collaborating with marketing teams.
- Company: Join KAYAK, the leading travel search engine transforming how 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 AI tools to shape the future of travel data.
- Qualifications: 6+ years in data engineering, proficient in SQL and Python, 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 the world’s 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 KAYAK · Consumer Marketing in Cambridge employer: Kayak
Contact Detail:
Kayak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ETL Engineer KAYAK · Consumer Marketing in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former KAYAK employees 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. Show them you’re not just a coder, but a problem-solver!
✨Tip Number 3
Don’t forget to showcase your collaboration skills! KAYAK values teamwork, so be prepared to share examples of how you’ve worked with cross-functional teams to deliver data solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the KAYAK family.
We think you need these skills to ace ETL Engineer KAYAK · Consumer Marketing in Cambridge
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for 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 make an impact at KAYAK!
Show Off Your Collaboration Skills: Since we value teamwork, don’t forget to mention your experiences working with cross-functional teams. Share examples of how you've partnered with marketing analysts or data scientists in the past. It’s all about showing us you can communicate effectively!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. We appreciate clarity and brevity!
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure it gets to the right people quickly. Plus, it’s super easy to do – just follow the prompts and you’re good to go!
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 KAYAK values collaboration, prepare examples of how you've worked with cross-functional teams. Think about times when you partnered with marketing analysts or data scientists to deliver on data needs, and be ready to share those stories.
✨Embrace Change and Innovation
KAYAK is looking for someone who welcomes change and innovation. Be prepared to discuss how you've adapted to new tools or processes in your past roles, especially any experience with AI coding tools. Show your enthusiasm for embracing new technologies!
✨Prepare for Agile Discussions
As this role involves participating in agile ceremonies, brush up on agile methodologies. Be ready to talk about your experience in agile environments, how you handle project scope estimation, and your approach to managing timelines effectively.
