At a Glance
- Tasks: Design and maintain robust data pipelines for a leading travel platform.
- Company: Join Tripadvisor, the world's most trusted source for travel experiences.
- Benefits: Flexible remote work, competitive pay, tuition assistance, and travel perks.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make an impact on global travel by building scalable data solutions.
- Qualifications: 4-5 years in data engineering, strong Java and Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
What You’ll Do
Data Engineering & Data Products, ETLs
- 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.
Quality, Collaboration & Ownership
- 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.
- Familiarity with additional technologies: 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.
- 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.
- 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.
Our Cultural Pillars:
- Traveller first: We exist to create value for our customer, the traveler.
- Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business.
- We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals.
Discover more in our Tech 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.
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 AccessibleRecruiting@tripadvisor.com.
Data Engineer II (Data Platform) in Oxford employer: Tripadvisor
At TheFork, we pride ourselves on being an exceptional employer that champions a vibrant work culture and prioritises employee growth. Our fully remote position allows you to thrive in a flexible environment while connecting with a diverse team across Europe, all dedicated to enhancing the dining experience. With strong core values guiding our operations, we offer unique opportunities for personal and professional development, making us an ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II (Data Platform) in Oxford
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We think you need these skills to ace Data Engineer II (Data Platform) in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
