Data Engineer II (Data Platform)

Salary: £71,000 - 99,000 per year

Requirements:

• We are looking for 4–5+ years of data engineering or general software development experience in a commercial setting.
• We need strong hands-on proficiency in both Java and Python for production systems.
• We require demonstrated experience designing and implementing complex ETL/ELT processes from concept to production.
• We expect proficiency in SQL and data exploration across large, complex datasets.
• We need experience with big data technologies such as Hadoop, Hive, BigQuery, and Snowflake, and with terabyte-scale or larger datasets.
• We require a solid foundation in data structures, algorithms, and object-oriented design.
• We expect professional experience building REST services and working with event queue systems.
• We need familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers.
• We look for systems performance and tuning experience, with an understanding of how architecture impacts scalability.
• We require a bachelors degree in Computer Science, Engineering, or equivalent practical experience.
• We value strong analytical skills and the ability to write clean, correct, and efficient code.
• We expect you to be self-paced, organized, and detail-oriented, with a strong sense of ownership, urgency, and pride in your work.
• We need the ability to break down complex problems into simple, pragmatic solutions.
• We value strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems.
• We need willingness and ability to take on new technologies as our stack evolves.

Responsibilities:

• We design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.
• We develop scalable, reusable data models and curated datasets for analytics, data science, CRM, machine learning, and other data consumers across the organization.
• We own the full lifecycle of data pipelines, including defining SLAs, implementing performance measurements, monitoring, and anomaly detection.
• We ensure enterprise data integrity, validation, documentation, and governance.
• We write production Java and Python code across our platform stack, from data ingestion and event processing to REST services and internal tooling.
• We build and maintain streaming and batch processing systems using Flink, Spark, and Kafka for real-time and analytical workloads.
• We take responsibility for all aspects of software engineering, including design, implementation, QA, and maintenance, with a CI/CD mindset.
• We operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling.
• We take on projects independently and work to leave things better than we found them.
• We help drive code quality through leadership in design and code review.
• We collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions.
• We communicate effectively with both technical and business stakeholders and translate complex data problems into clear solutions.
• We work alongside engineering groups located around the world in a fast-paced, dynamic environment.

Technologies:

• AWS
• Big Data
• BigQuery
• Backbone
• CI/CD
• Cloud
• CRM
• ETL
• Flink
• Gradle
• Hadoop
• Hive
• Java
• Kafka
• Linux
• Machine Learning
• Python
• REST
• SQL
• Snowflake
• Spark
• Airflow
• CSS
• GraphQL
• HTML5
• Support
• JavaScript
• Marketing
• Mobile
• NoSQL
• React

More:

We are Tripadvisor Group, a global travel and experiences company connecting people to experiences worth sharing. Our Data Platform team is the engineering backbone of our data ecosystem, building the software and infrastructure that power experimentation, analytics, data science, machine learning, GenAI, and other business-critical initiatives at petabyte scale. We offer competitive compensation, a remote-friendly and flexible work environment, flexible scheduling, donation matching, tuition assistance, lifestyle and travel perks, health benefits, an employee assistance program, and a generous referral scheme. We value a traveler-first mindset, fast and agile execution, and collaborative teamwork. We are committed to diversity, inclusion, belonging, and providing an accessible hiring experience. #LI-SM1 #LI-Remote

last updated 34 week of 2026