Jobs / United Kingdom / Tripadvisor LLC

Tripadvisor LLC

Senior Data Engineer

London, United Kingdom - Remote / Hybrid · Remote Posted 23 days ago

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThis employer holds a UK sponsor licence (Skilled Worker, A rating).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
Can’t check pay against the visa rules
No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.

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About the role

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Our Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing the software and infrastructure that enable Tripadvisor to better understand visitor preferences and drive GenAI, Analytical, and DSML initiatives at petabyte scale. We build the frameworks, infrastructure, tooling, data modeling, and best practices that ensure consistent, well-governed, high-quality data products everywhere; and we directly own a deliberate set of business-critical, cross-cutting data products. Our work spans: • Streaming and batch data platforms that unlock data across Tripadvisor • ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive • Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations • Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics • Self-service and agentic analytics capabilities — governed, natural-language access to trustworthy data The Role Tripadvisor is looking for a Senior Data Engineer to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You'll pair strong software engineering fundamentals with deep data engineering expertise, set technical direction, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. What You'll Do Data Engineering & Data Products & Enablement • Own the full lifecycle of business critical data pipelines: define SLAs, implement performance measurement, monitoring, alerting, and anomaly detection, and lead incident response and root-cause analysis. • Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. • Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms. • Design, build and maintain streaming and batch systems that power real-time and analytical workloads, and lead simplification of legacy ingestion paths. • Drive warehouse standardization and technical-debt reduction as we consolidate toward one warehouse. • Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception. • Apply AI to accelerate the team's own work (e.g., building reusable Claude skills for pipeline migrations and upgrades) a

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