Senior Data Engineer
Description For Senior Data Engineer
KAYAK, the world's leading travel search engine and part of Booking Holdings (NASDAQ: BKNG), is seeking a Senior Data Engineer to join their Marketing Data Engineering team in Berlin. This role sits at the intersection of travel technology and data engineering, where you'll work with billions of queries across their platforms to help people find perfect travel arrangements.
The position offers an exciting opportunity to work on high-performance data pipelines that directly impact how millions of travelers worldwide plan their journeys. You'll be using modern technologies including Python, SQL, Airflow, and Trino, while also embracing innovative approaches like AI coding assistants to boost productivity.
As a Senior Data Engineer, you'll be responsible for designing and maintaining robust data pipelines, transforming large datasets, and collaborating with cross-functional teams including marketing analysts and data scientists. The role requires both technical expertise and strong communication skills, as you'll be working in an international, fast-paced environment.
The company offers an impressive benefits package including flexible work arrangements, comprehensive mental health support, generous vacation time, and professional development opportunities. The Berlin office, located in vibrant Friedrichshain, provides an energetic workspace with regular social events and team activities.
This is an ideal opportunity for an experienced data engineer who wants to make a significant impact in the travel technology sector while working with cutting-edge tools and technologies. The role offers the perfect blend of technical challenges, collaborative environment, and work-life balance, all while contributing to a product that helps people experience the world.
Responsibilities For Senior Data Engineer
- 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 partners 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
Requirements For Senior Data Engineer
- 6+ years of professional experience in data engineering
- Proficient in SQL and Python, and know how to write scalable, maintainable code
- Experience with AI coding tools
- Understanding of modern data architecture from ingestion to transformation to delivery
- Experience with Airflow pipelines or similar
- Ability to estimate project scope, manage timelines, and deliver reliably
- Excellent collaboration and communication skills
- Solution oriented and driven by curiosity
- Ability to adapt to change and innovation
- Thrive in an international, fast-paced environment
Benefits For Senior Data Engineer
- Work from anywhere for up to 20 days per year
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to HeadSpace
- Company-wide week off a year
- No meeting Fridays
- Paid parental leave
- Generous paid vacation + birthday time off
- Paid volunteer time
- Development Dollars
- Leadership development
- Access to thousands of on-demand e-learnings
- Travel Discounts
- 6 weeks paid vacation
- Free lunch 2 days per week
- Pension plan contributions
- Public transportation subsidies
- Bike leasing program
- Monthly social events, massages, Thursday happy hours, sports teams
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