Data Engineer SQL - Remote (m/w/d) in Oxford

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. Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.About the Data Platform TeamOur 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 software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Streaming and batch data platforms that unlock data across TripadvisorETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and HiveOrchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operationsTracking instrumentation, information architecture, and data governance tooling for business-critical analyticsWe collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization.Tripadvisor is looking for a Data Engineer II 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 bring both strong software engineering fundamentals and hands-on data engineering expertise — writing production-quality Java and Python, 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? What You’ll DoData Engineering & Data Products, ETLsDesign, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization.Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection.Ensure enterprise data integrity, validation, documentation, and governance.Platform & Software EngineeringWrite production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling.Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days).Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling.Quality, Collaboration & OwnershipTake on projects with independence and a mandate to leave things better than you found them.Be integral to code quality on your team through leadership in design and code review.Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions.translate complex data problems into clear solutions.Skills & Experience4-5+ years of data engineering or general software development experience in a commercial setting.Strong hands-on proficiency in both Java and Python for production systems.Proficiency in SQL and data exploration across large, complex datasets.Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets.Solid foundation in data structures, algorithms, and object-oriented design.Professional experience building REST services and working with event queue systems.Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers.Systems performance and tuning experience, with an understanding of how architecture impacts scalability.Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT.Experience working with and designing infrastructures for large-scale data processing (Hive, Snowflake, NoSQL databases).Experience with data governance practices and tooling.Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively.What We OfferCompetitive compensation packages, including base salary, annual bonus, and more.“We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. Flexible schedule. Work-life balance is ingrained in our culture by design. Use it on travel, wellness, or whatever suits you.Travel perks. We believe that travel is employee development, so we provide discounts and more.Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We celebrate the quality of our effort, our learnings, and our collective achievements.Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Tripadvisor Group strives to embed inclusion and belonging across all our brands. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.LI-SM1#LI-Remote