At a Glance
- Tasks: Build and optimise data pipelines to support critical business decisions.
- Company: Join Tripadvisor, a leading global travel platform with a vibrant culture.
- Benefits: Enjoy flexible work options, competitive pay, and generous perks like tuition assistance.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in the travel industry while working with cutting-edge data technologies.
- Qualifications: 6+ years in data engineering, strong SQL skills, and experience with large datasets.
The predicted salary is between 60000 - 80000 £ per year.
London, United Kingdom - Remote / Hybrid
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.
Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. Our data engineering team is looking to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor’s first-in-class data products that serve all data users across the organization.
As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions.
What You’ll Do
- Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale sources.
- Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery.
- Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization.
- Partnering with our analytics, data science, CRM, and machine learning teams for data solutions.
- Responsible for an enterprise data mart integrity, validation, and documentation.
- Responsible for the data pipelines’ SLA and dependency management.
- Writing technical documentation for data solutions, and presenting at design reviews.
- Solving data pipeline failure events and implementing sound anomaly detection.
- Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges.
- Leading medium to large size projects in terms of writing technical specs and project planning.
- Mentoring junior members of the team.
Skills & Experience
- BS or MS degree in Computer Science or a related technical discipline.
- 6+ years of data engineering or general software development experience.
- Experience working with large datasets and familiarity with various technologies and tooling associated with databases and big data.
- Comprehensive data design and data modeling experience.
- Solid experience developing complex ETL processes from concept to implementation.
- Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets.
- Systems performance and optimization experience.
- Experience in functional programming in Python or in an equivalent language.
- Strong software engineering principles.
- Self‑paced, organized, and detail‑oriented person with a strong sense of ownership.
- Strong communication skills to effectively communicate with both business and technical teams.
- Ability to work in a fast‑paced and dynamic environment.
- Proven record of technical leadership on planning and driving medium to large size projects.
- Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems.
- Ability to break down complex problems into simple solutions.
- Ability to work with end users to solve technical challenges.
- Comfortable owning the full data vertical and work autonomously.
- Ability to mentor and support more junior members of the team.
Nice to have
- Exposure to and/or interest in machine learning and data science.
- Experience working with task orchestration tools, Airflow or similar systems.
- Comfortable working in a Linux CLI environment.
- Experience in designing high‑scale, fault‑tolerant and performant distributed applications.
- Experience in developing and managing real‑time data pipelines.
- Experience in programming languages such as Java or equivalent.
- Experience with data governance.
What We Offer
- Competitive compensation packages, including base salary, annual bonus, and more.
- “Work your way” with flexibility to suit your lifestyle.
- Flexible schedule. Work‑life balance is ingrained in our culture by design.
- Donation matching. Give back? Give more!
- Tuition assistance. Want to level up your career?
- Lifestyle benefit. An annual benefit to spend on yourself.
- Travel perks. We believe that travel is employee development.
- 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.
Accessibility & Diversity
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.
Equal Employment Opportunity
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.
Senior Data Engineer employer: TripAdvisor LLC
At Tripadvisor Group, we pride ourselves on being an exceptional employer, particularly for the role of Product Data Scientist in London. Our vibrant work culture fosters collaboration and innovation, empowering employees to grow their skills in a data-driven environment while contributing to meaningful travel experiences. With a commitment to professional development and a supportive atmosphere, we offer unique opportunities to engage with cutting-edge analytics methods and make impactful decisions that shape the future of travel.