Data Engineer

Methodfi; Cambridge; On-site; GBP 115,000 - 130,000; Full time

Job summary

A leading travel search engine company is looking for a Data Engineer in Cambridge to design and maintain high-performance data pipelines. The role requires 6+ years of experience, proficiency in Python and SQL, and familiarity with modern data architectures. You will collaborate with teams to define data needs and work in an agile environment. The position offers a competitive salary and a range of benefits, promoting a diverse and inclusive workplace.

Benefits

Health benefits

Flexible spending account

Retirement benefits

Paid time off

Parental leave benefits

Qualifications

• 6+ years of professional experience in data engineering.
• Proficient in SQL and Python, with skills in writing scalable code.
• Experience with AI coding tools.

Responsibilities

• Design, build, and maintain data pipelines and workflows.
• Write modular Python code for data manipulation.
• Develop dashboards and visualizations for stakeholders.

Skills

Data pipeline design

Python programming

SQL proficiency

Agile methodologies

Collaboration

Tools

Airflow

Git

Cursor (AI coding tool)

Job description

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

The base range for this United States located role is $115,000 - 130,000.00.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus.

Inclusion

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.