Senior Data Engineer, BI Pipelines & Scale (Berlin)

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 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.