Senior Data Engineer

KAYAK; Concord (AL); Hybrid; USD 80,000 - 137,000; Full time

Benefits offered by this job

Work from (almost) anywhere for up to

Mental health benefits

No meeting Fridays

Paid parental leave

Paid volunteer time

Development Dollars

Pension plan contributions

Public transportation subsidies

Bike leasing

Vacation + birthday

Free lunch

Travel discounts

ERGs

Job summary

KAYAK is seeking a Senior Data Engineer for its Business Intelligence team in Berlin. You will design and operate scalable data pipelines, optimize data models and SQL for large-scale analytics, and ensure reliable financial and operational reporting.

You will own end-to-end data pipelines and collaborate across teams, leveraging Python, SQL, Airflow/Docker, and modern BI tooling. The role requires strong English communication and a focus on data quality and accessibility.

Qualifications

• 5+ years of proven experience in data engineering or analytics engineering.
• Experience owning end-to-end data pipelines (ingest → transform → test → monitor).
• Strong SQL skills and familiarity with distributed/columnar/OLAP systems (examples: Redshift, Trino, Vertica) and relational databases (e.g., MySQL, Postgres).
• Proficiency in Python and a software-engineering approach to building testable, maintainable code.
• Experience with workflow orchestration and containerization (examples: Airflow, Docker).
• Strong analytical and troubleshooting skills for investigating data issues.
• Strong written and spoken English to communicate effectively across teams.

Responsibilities

• Architect for scale: Develop and monitor robust data pipelines using Python, SQL, and Rundeck/Airflow that handle large-scale data volumes with high reliability.
• Optimize performance: Design performant data models and optimize complex SQL queries for high-scale environments.
• Ensure data reliability: build automated checks and alerts to catch errors early so financial and operational reports remain accurate.
• Increase data access: automate repetitive tasks and build self-service tools to make data easier to use across teams.
• Drive engineering excellence: experiment with and leverage AI-assisted coding tools to accelerate development cycles and enhance code quality.
• Work with partners across the company: translate business questions into practical, maintainable technical solutions.

Skills

Python

SQL

Data modeling

ETL/ELT

Airflow

English proficiency

Problem solving

Tools

Redshift

Trino

Vertica

MySQL

Postgres

Docker

Rundeck

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 at our core 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 are looking for a Senior Data Engineer to join our Business Intelligence team.

Our team builds and operates the data backbone that serves as the single source of truth for the organization. We manage KAYAK’s business-critical reporting to support billing and provide the foundation for company-wide reporting and analytics.

If you want to build the systems that define how the business measures success, we’d love to hear from you.

This role will be required to work from our Berlin office 3 days per week.

In this role, you will:

• Architect for scale: Develop and monitor robust data pipelines using Python, SQL, and Rundeck/Airflow that handle large-scale data volumes with high reliability.

• Optimize performance: Design performant data models and optimize complex SQL queries for high-scale environments.

• Ensure data reliability: build automated checks and alerts to catch errors early so financial and operational reports remain accurate.

• Increase data access: automate repetitive tasks and build self-service tools to make data easier to use across teams.

• Drive engineering excellence: experiment with and leverage AI-assisted coding tools to accelerate development cycles and enhance code quality.

• Work with partners across the company: translate business questions into practical, maintainable technical solutions.

• 5+ years of proven experience in data engineering or analytics engineering within a related data-centric environment.

• Experience owning end-to-end data pipelines (ingest → transform → test → monitor).

• Strong SQL skills and familiarity with distributed/columnar/OLAP systems (examples: Redshift, Trino, Vertica) and relational databases (e.g., MySQL, Postgres).

• Proficiency in Python and a software-engineering approach to building testable, maintainable code.

• Experience with workflow orchestration and containerization (examples: Airflow, Docker).

• Strong analytical and troubleshooting skills for investigating data issues.

• Strong written and spoken English to communicate effectively across teams.

We welcome diverse technical backgrounds. Nice-to-have experience:

• Stream processing or real-time systems (e.g., Kafka, Flink).

• Modern BI tooling (e.g., Looker, Superset).

• CI/CD and deployment automation (e.g., GitHub Actions).

• Web frameworks for internal tools (e.g., Django, Flask).
  

Benefits and Perks:

• Work from (almost) anywhere for up to 20 days per year

• Focus on mental health and well-being:

  • Company-paid therapy sessions through SpringHealth

  • Company-paid subscription to HeadSpace

  • Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)

• No meeting Fridays

• Paid parental leave

• Paid volunteer time

• Focus on your career growth:

  • Development Dollars

  • Leadership development

  • Access to thousands of on-demand e-learnings

• Travel Discounts

• Employee Resource Groups

• 6 weeks paid vacation + a day off for your birthday

• Free lunch 2 days per week

• Pension plan contributions

• Public transportation subsidies

• Bike leasing program

• Monthly social events, Thursday happy hours, sports teams

• An awesome office in Friedrichshain, Berlin

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.