Senior Data Engineer

KAYAK

. Develop and monitor robust, scalable data pipelines using Python, SQL, and Rundeck/Airflow .

Posted 9/23/2026full-timeBerlin • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and monitoring data pipelines using Python and SQL, with a strong focus on building scalable data models and optimizing queries. Proficient in workflow orchestration and automation, ensuring accurate reporting and analytics across the organization.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL OptimizationPython ProficiencyWorkflow OrchestrationData Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData Pipeline DevelopmentData ModelingAutomated TestingData AnalysisTroubleshootingCI/CDContainerizationStream Processing

Soft Skills

Analytical SkillsProblem-SolvingCommunication

Tools & Technologies

AirflowRundeckRedshiftTrinoVerticaMySQLPostgresDockerLookerFlask

Industry Keywords

Data EngineeringAnalytics EngineeringOLAP SystemsFinancial ReportingOperational Reporting

Tech Stack

Tools & technologies

AirflowAmazon RedshiftDjangoDockerFlaskKafkaMySQLPostgresPythonSQL

About the role

Key responsibilities & impact

Develop and monitor robust, scalable data pipelines using Python, SQL, and Rundeck/Airflow
Design performant data models and optimize complex SQL queries for high-scale environments
Build automated checks and alerts to catch errors early and maintain accurate financial and operational reports
Automate repetitive tasks and build self-service tools to improve data access across teams
Experiment with and leverage AI-assisted coding tools to accelerate development and enhance code quality
Translate business questions into practical, maintainable technical solutions with partners across the company
Build and operate the data backbone serving as the organization’s single source of truth
Support billing and company-wide reporting and analytics

Requirements

What you’ll need

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
Familiarity with distributed/columnar/OLAP systems such as Redshift, Trino, or Vertica
Familiarity with relational databases such as MySQL or Postgres
Proficiency in Python
Software-engineering approach to building testable, maintainable code
Experience with workflow orchestration and containerization such as Airflow or Docker
Strong analytical and troubleshooting skills for investigating data issues
Strong written and spoken English
Nice-to-have: stream processing or real-time systems such as Kafka or Flink
Nice-to-have: modern BI tooling such as Looker or Superset
Nice-to-have: CI/CD and deployment automation such as GitHub Actions
Nice-to-have: web frameworks for internal tools such as Django or Flask
Ability to work from the required Berlin office at least 3 days per week

Benefits

Comp & perks

Work from (almost) 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
Paid volunteer time
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