
1001 - 5000 employees
Founded 2000
🏨 Hospitality
📦 Logistics
📣 Marketing
💰 $300M Post-IPO Equity on 2021-03
Hospitality • Logistics • Marketing
Tripadvisor is a popular online travel platform that offers a wealth of resources for planning trips, booking hotels, finding restaurants, and exploring activities worldwide. Known for its extensive traveler reviews and Travelers’ Choice Awards, Tripadvisor helps users discover top destinations and experiences, find award-winning dining options, and engage with travel content from various creators. The platform also allows users to book tours and attractions, compare vacation rentals, and access travel tools to enhance their travel experiences. Tripadvisor serves travelers around the world by providing insights, reviews, and guidance for a wide range of travel-related services.
🔥 9 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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1001 - 5000 employees
Founded 2000
🏨 Hospitality
📦 Logistics
📣 Marketing
💰 $300M Post-IPO Equity on 2021-03
Hospitality • Logistics • Marketing
Tripadvisor is a popular online travel platform that offers a wealth of resources for planning trips, booking hotels, finding restaurants, and exploring activities worldwide. Known for its extensive traveler reviews and Travelers’ Choice Awards, Tripadvisor helps users discover top destinations and experiences, find award-winning dining options, and engage with travel content from various creators. The platform also allows users to book tours and attractions, compare vacation rentals, and access travel tools to enhance their travel experiences. Tripadvisor serves travelers around the world by providing insights, reviews, and guidance for a wide range of travel-related services.
• Own the full lifecycle of business-critical data pipelines, including SLAs, performance measurement, monitoring, alerting, anomaly detection, incident response, and root-cause analysis • Define scalable, reusable data models and curated datasets for analytics, data science, CRM, machine learning, and other data consumers • Design, build, and maintain robust ETL/ELT pipelines processing terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms • Design, build, and maintain streaming and batch systems for real-time and analytical workloads • Lead simplification of legacy ingestion paths and drive warehouse standardization and technical-debt reduction • Drive data integrity, validation, documentation, governance practices, and supporting tooling • Apply AI to accelerate team workflows, including reusable Claude skills for pipeline migrations and upgrades • Set engineering standards and best practices for data modeling, pipeline design, testing, and observability • Write and review production Java and Python code for data ingestion, event processing, REST services, and internal tooling • Architect and scale Flink, Spark, and Kafka streaming and batch processing systems • Handle software engineering design, implementation, QA, maintenance, and frequent production releases • Design, operate, and improve AWS cloud infrastructure for performance, scalability, and cost • Lead large initiatives end to end, including technical specifications, design reviews, planning, and delivery across teams • Lead design and code reviews, uphold code and data quality, and mentor engineers • Translate ambiguous cross-organizational data problems into standardized solutions • Partner with Product, Design, Analytics, and Data Science leaders to shape specifications and deliver high-impact solutions
• 8+ years of data engineering or software development experience in a commercial setting, including technical leadership on medium-to-large projects • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience • Experience taking significant projects from design through production, with growing ownership of technical direction • Deep experience designing and implementing complex ETL/ELT from concept to production, including SLAs, performance measurement, and monitoring • Comprehensive data design and data modeling experience, and advanced SQL across large, complex datasets • Extensive experience with big data technologies and cloud data warehouses (Snowflake, BigQuery, Hadoop/Hive) at terabyte-and-growing scale • Experience building reusable frameworks, platforms, or tooling that other engineers depend on • Hands-on proficiency in both Python and Java for production systems • Systems performance and tuning expertise, including understanding of scalability and cost impacts • Familiarity building REST services and working with event queue systems • Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers • Ability to operate autonomously in loosely defined problem spaces and prioritize effectively • Strong interpersonal and communication skills • Intense curiosity and enthusiasm for solving difficult problems • Self-paced, organized, and detail-oriented, with a strong sense of ownership
• Competitive compensation packages, including base salary, annual bonus, and more • “Work your way” flexibility with a remote-friendly approach and the option to join on-site as often as desired in select locations • Flexible schedule • Donation matching for qualifying charitable donations • Annual tuition assistance for qualified programs • Annual lifestyle benefit for travel, wellness, or other uses • Travel discounts and other travel perks • Employee assistance program • Health benefits with coverage and competitive premiums • Generous referral awards for successful candidate referrals
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💰 Private Equity Round - Travel Chapter on 2019-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor