Senior Data Engineer, Growth Data Engineering
GetYourGuide · 🌍 Berlin
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Sponsor Radar — GetYourGuide
This employer posted directly and does not match a government sponsor register.
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About the role
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 Growth 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 customer growth side of our marketplace . We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help GetYourGuide acquire and retain our customers . We achieve this through close partnership with Growth Analytics and Marketing teams , enabling teams to move faster with confidence. Your mission • Own the data end-to-end: Deliver reliable, high-quality data solutions that enable growth decision-making across acquisition, conversion, engagement, and retention. • Be a trusted thought partner: Work closely with Marketing, Analytics and Engineering to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities. • Drive technical excellence in the stack: Lead system design for new capabilities and continuously evolve what's already in production — architecture, testing, observability, performance, and cost efficiency — with a bias toward simplicity, reusability, and maintainability . • Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements. • Level up the team and shape how we build: Raise the engineering bar through strong code reviews, design input, and hands-on support, and influence standards and technology choices with a focus on simplicity, reusability, and maintainability. Your toolkit • Experience: 5+ years in a relevant data role. You've built and owned a data domain end-to-end — from source integration through to the models and metrics that downstream teams depend on • 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 • Growth-domain impact: You’ve delivered data products in growth and marketing adjacent domains (e.g., Retenti