Senior Data Engineer: Build Scalable Pipelines (Berlin)

Kayak; Concord (MA); Hybrid; USD 92,000 - 138,000; Full time

Benefits offered by this job

Work from anywhere

No meeting Fridays

Parental leave

Pension plan

Bike leasing

Lunch two days a week

Travel discounts

Well-being programs

Job summary

KAYAK is seeking a Senior Data Engineer to join the Business Intelligence team in Berlin. You will architect scalable data pipelines, optimize SQL and data models, and ensure data reliability for financial and operational reporting.

The role emphasizes Python development, Airflow/Docker workflows, and cross-team collaboration. This position requires strong SQL, experience with large-scale data, and English communication.

Qualifications

• 5+ years of data engineering or analytics engineering experience.
• End-to-end data pipelines ownership.
• Strong SQL in distributed systems (Redshift, Trino, Vertica).
• Proficient in Python and maintainable code.

Responsibilities

• Architect and monitor scalable data pipelines.
• Design performant data models and optimize SQL queries.
• Build automated data quality checks and alerts.
• Develop self-service data tools for teams.
• Collaborate with partners across the company.

Skills

Data pipelines

SQL expertise

Python

Airflow

Docker

Analytical skills

English communication

Tools

Redshift

Trino

Vertica

MySQL

PostgreSQL

Job description

KAYAK is seeking a Senior Data Engineer to join the Business Intelligence team in Berlin. You will architect scalable data pipelines, optimize SQL and data models, and ensure data reliability for financial and operational reporting.

The role emphasizes Python development, Airflow/Docker workflows, and cross-team collaboration. This position requires strong SQL, experience with large-scale data, and English communication.