Who We AreTourHero is a social travel platform revolutionising how people explore the world together. We connect adventure-seekers with unique, curated trips designed to bring communities together and create unforgettable experiences. Growing rapidly month-over-month, we're expanding our technical team in Bogotá!Our Community️ TourHeroes — Passionate travellers who craft and lead experiences.️ Travellers — Adventurers ready to join curated trips and make new connections.️ Operators — Local partners offering authentic, immersive activities.We are an early-stage startup, backed by Sequoia Capital & Lightspeed—the same investors behind Google, WhatsApp, Airbnb, Nvidia, and TikTok. As we scale, we’re building a driven, high-impact team to bring our vision to life.We’re looking for someone with an entrepreneurial mindset, ready to take on challenges, think outside the box, and make a real impact. If you thrive in a fast-paced environment and love pushing boundaries, this could be the perfect opportunity for you!The RoleAs our Data Engineer focused on Growth Systems, you'll be responsible for building and maintaining robust data pipelines that power our growth initiatives. You'll work closely with the Technical Growth Lead to ensure efficient data collection, processing, and delivery while maintaining high standards of data quality and system reliability.What You'll Be DoingBuild and maintain scalable data pipelines for data collectionDesign, implement and maintain scalable ETL pipelines using PythonDevelop data-driven hypotheses and collaborate with teams on solutionsDevelop and maintain data validation frameworks to ensure data qualityCreate and optimize BigQuery operations for data processing and analyticsDevelop clear reports and visualizations to effectively communicate data insightsImplement monitoring and alerting systems for data pipeline healthWrite clear technical documentation and SOPs in EnglishTechnical RequirementsEssential:Strong Python development experience (2+ years), particularly with data processing libraries like Pandas and NumPyExperience with web scraping and handling anti-bot measuresExperience with rate limiting, proxy management and robust error handlingProven experience with ETL pipeline design and implementationProven experience with BigQuery, especially batch operations and schema managementExperience with thread-safe implementations and concurrent processingStrong understanding of data validation and quality assuranceGit version control proficiencyExperience with data visualization tools (Tableau/Looker/Microsoft BI)Nice to Have:Experience with automated testing frameworksFamiliarity with CI/CD pipelinesExperience with Vertex AI and LLM APIsBasic understanding of ML pipelines and feature engineeringExperience with distributed systemsKnowledge of data security best practicesThe Ideal Profile2+ years of experience in data engineering or analysis, comfortable working in a fast-paced startup environmentEnglish proficiency (B2 minimum), Spanish advantageousStrong technical skills including BigQuery, Python, and data visualization toolsExcellent communication abilities to explain complex technical concepts to non-technical audiencesCollaborative team player who can work effectively across teamsAn entrepreneurial, self-driven mindset eager to learn and make an impactAbility to balance detail-orientation and tactical execution with strategic thinkingOur Benefits 40 Days of Annual Leave – Includes bank holidays, giving you the flexibility to use them when it suits you Work From Anywhere – 15 days per year to set up your office anywhere in the world Health Coverage – SafetyWing health insurance with global coverage across 180+ countries Equity – Stock options after your probation period, making you a stakeholder in our journey Tech Budget – USD $200 for any additional equipment you needGrowth Opportunity – Join a rapidly expanding team with room for advancementReady to Join Our Journey?If you're passionate about building scalable data systems and ready to make an impact in a fast-growing startup, we'd love to meet you! #J-18808-Ljbffr