Data Engineer II (Data Platform)

Oxford, Oxfordshire, United Kingdom (Hybrid or Remote)

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.

About the Data Platform Team

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 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. Our team builds and maintains:

• 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
• We 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? If so, we’d love to talk.

What You’ll Do

• Design, 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 Engineering

• Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling.
• Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real‑time and analytical workloads.
• 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.
• Take 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.
• Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions.
• Work alongside engineering groups located around the world in a fast‑paced, dynamic environment.

Skills & Experience

• 4–5+ 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.
• Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production.
• 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.
• Strong analytical skills; desire to write clean, correct, and efficient code.
• Self‑paced, organized, and detail‑oriented with a strong sense of ownership, urgency, and pride in your work.
• Ability to break down complex problems into simple, pragmatic solutions.
• Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems.
• Willingness and ability to take on new technologies as our stack evolves.

Nice to Have

• Experience with stream processing frameworks such as Flink or Spark Streaming.
• Experience with task orchestration tools such as Apache Airflow or similar systems.
• 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.
• Experience developing scalable code for high‑volume, low‑latency systems.

What We Offer

• Competitive compensation packages , including base salary, annual bonus, and more.
• “Work your way” with flexibility to suit your lifestyle. 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. Trust and accountability make it work.
• Donation matching . Give back? Give more! We match qualifying charitable donations annually.
• Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs.
• Lifestyle benefit . An annual benefit to spend on yourself. 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.
• Health benefits . We offer great coverage and competitive premiums.
• Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.
• Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us.
• Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. 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 succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

Discover more in ourTech Blog , for an inside look into some of our exciting and ground‑breaking technical projects here at Tripadvisor Group.

Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. 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. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands.

We strive to create an accessible and inclusive experience for all candidates. 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 .

If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!

#LI-SM1

US Demographics

Individuals seeking employment at Tripadvisor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any characteristic protected by law. Tripadvisor is committed to creating an inclusive culture. If you choose to share this information, it will allow us to track the effectiveness of our recruiting efforts and to monitor the diversity of our applicant pool for all roles and levels.

Please consider answering the following voluntary questions. Completion is entirely voluntary . Should you choose to answer any of the questions, your answers will not be considered in the hiring process or thereafter, and any information you do provide will be stored confidentially and securely and only used for the above purposes. Conversely, if you choose not to complete this section or provide this information it will not adversely impact your application.

#J-18808-Ljbffr