Data Engineer, Traveler Data Engineering

Change the way the world travels Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step. Team mission Within Traveler Data Engineering - part of the strategic Flywheel Data Engineering group - our mission is to build the trusted data foundations and self-serve capabilities for the traveler side of our marketplace . We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help GetYourGuide improve customer experience throughout the customer journey . We achieve this through close partnership with Product and Data , enabling teams to move faster with confidence. Your mission Build end-to-end data solutions independently: Deliver reliable, high-quality datasets/pipelines that power traveler-facing decision-making (e.g., acquisition, conversion, engagement, retention). Be a trusted thought partner: Work closely with Product and Data to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities. Deliver high technical craft: Apply best practices in code quality, data modeling, testing, and monitoring/alerting; contribute to operational support for what you ship and improve reliability over time. Improve what’s already in production: Pragmatically refactor and simplify existing pipelines/models, fix data quality issues at the root cause, and make targeted performance and cost improvements within your scope. Contribute to team outcomes: Participate in planning/roadmap, code reviews, and knowledge sharing to raise team effectiveness. Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements. Your toolkit Experience: 3+ years in a relevant data role, with hands-on experience across data engineering technologies and analytics tooling. Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences. Data engineering depth: Expertise in SQL Python , building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g., Delta , Snowflake , PostgreSQL/MySQL ) with strong focus on data quality, accuracy, and reliability . Strong dbt proficiency and familiarity with Spark. Reporting insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g., Jupyter ). Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and delivered outcomes. Autonomy ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery. Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed. AI-first mindset: Uses modern AI tools to boost productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance Extras that give you an edge Traveler-domain impact: You’ve delivered data solutions for marketplaces (e.g., product analysis, customer journey) and thrive in complex, multi-stakeholder environments. Customer-journey metric thinking : You can translate ambiguous product questions into crisp, shared definitions (funnels, cohorts, KPIs) and b ... (truncated, view full listing at source)