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KAYAK, part of Booking Holdings, is seeking a Senior Data Engineer to join its Marketing Data Engineering team. The role is based in Copenhagen, requiring commuting to the office three times per week. The position involves designing and maintaining data pipelines, leveraging AI coding tools, collaborating with teams, and supporting partners with dashboards and visualizations.
Job Responsibility:
design, build, and maintain high-performance data pipelines and orchestration workflows
write clean, modular Python code to transform, parse, clean, and enrich large datasets
support partners by developing dashboards and visualizations
partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs
actively participate in agile ceremonies, code reviews, and planning discussions
experiment with and use AI coding tools to boost productivity and code quality
Requirements:
6+ years of professional experience in data engineering
proficient in SQL and Python, and know how to write scalable, maintainable code
worked with AI coding tools and excited about how they’re shaping the future of development
understand modern data architecture from ingestion to transformation to delivery
built and operated Airflow pipelines (or something similar)
used to estimating project scope, managing timelines, and delivering reliably
Nice to have:
excellent collaborator and communicator, comfortable working with technical and non-technical peers
solution-oriented and driven by curiosity
appreciate change and innovation, and quick to adapt tools and practices
thrive in an international, fast-paced, and feedback-driven environment
What we offer:
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
generous paid vacation + time off for your birthday
paid volunteer time
development dollars
leadership development
access to thousand of on-demand e-learnings
travel discounts
employee resource groups
6 weeks paid vacation
free lunch 2 days per week
pension plan contributions
public transportation subsidies
bike leasing program
monthly social events, massages, Thursday happy hours, sports teams
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