Senior Data Engineer

Tripadvisor

Senior Data Engineer focused on delivering data products at Tripadvisor. Collaborating with teams to build robust data solutions in a dynamic environment.

Posted 7/22/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines and ETL processes, with a strong focus on data integrity and documentation. Proficient in data modeling and working with large datasets, while effectively collaborating with cross-functional teams to deliver data solutions.

Highest-signal resume keywords

Data EngineeringETL ProcessesSQL Query DevelopmentData ModelingBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CurationData ConsolidationData ManipulationData Pipeline DevelopmentComplex SQL QueriesData Mart IntegrityData ValidationData DocumentationFunctional Programming in PythonSystems Performance Optimization

Soft Skills

Strong Communication SkillsDetail-OrientedOrganizational SkillsInterpersonal SkillsProblem-Solving Skills

Tools & Technologies

SnowflakeBigQueryHadoopHiveMS SQLPostgreSQLMySQL

Certifications & Qualifications

BS or MS Degree in Computer Science

Industry Keywords

Data EngineeringBig DataData SolutionsData ScienceAnalytics

Tech Stack

Tools & technologies

BigQueryETLHadoopMySQLPostgresPythonSQL

About the role

Key responsibilities & impact

Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) 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.

Requirements

What you’ll need

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 (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data:
Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake)
Relational DB (MS SQL, PostgreSQL/MySQL)
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 and handling challenging deadlines.
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.

Benefits

Comp & perks

Competitive compensation packages, including base salary, annual bonus, and more.
“Work your way” with flexibility to suit your lifestyle.
Flexible schedule.
Donation matching.
Tuition assistance.
Lifestyle benefit.
Travel perks.
Employee assistance program.
Health benefits.
Generous referral scheme.