Senior Data Engineer

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.

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).

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

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.

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