Senior Data Engineer

Tripadvisor

. Own the full lifecycle of business-critical data pipelines, including SLAs, performance measurement, monitoring, alerting, anomaly detection, incident response, and root-cause analysis .

Posted 9/22/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing complex ETL/ELT pipelines, data modeling, and cloud infrastructure management, with a strong focus on performance, scalability, and data integrity. Proficient in leading technical initiatives and mentoring teams to deliver high-impact data solutions.

Highest-signal resume keywords

ETL/ELT Pipeline DesignData ModelingAWS Cloud InfrastructurePython and Java ProficiencyBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELTData ModelingSQLPythonJavaFlinkSparkKafkaAWSPerformance Tuning

Soft Skills

Interpersonal SkillsCommunication SkillsOrganizational SkillsProblem-SolvingOwnership

Tools & Technologies

SnowflakeBigQueryHadoopHiveREST ServicesEvent Queue SystemsLinux

Industry Keywords

Data EngineeringData GovernanceData IntegrityAnalyticsMachine Learning

Tech Stack

Tools & technologies

AWSBigQueryCloudETLHadoopJavaKafkaLinuxPythonSparkSQL

About the role

Key responsibilities & impact

Own the full lifecycle of business-critical data pipelines, including SLAs, performance measurement, monitoring, alerting, anomaly detection, incident response, and root-cause analysis
Define scalable, reusable data models and curated datasets for analytics, data science, CRM, machine learning, and other data consumers
Design, build, and maintain robust ETL/ELT pipelines processing terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms
Design, build, and maintain streaming and batch systems for real-time and analytical workloads
Lead simplification of legacy ingestion paths and drive warehouse standardization and technical-debt reduction
Drive data integrity, validation, documentation, governance practices, and supporting tooling
Apply AI to accelerate team workflows, including reusable Claude skills for pipeline migrations and upgrades
Set engineering standards and best practices for data modeling, pipeline design, testing, and observability
Write and review production Java and Python code for data ingestion, event processing, REST services, and internal tooling
Architect and scale Flink, Spark, and Kafka streaming and batch processing systems
Handle software engineering design, implementation, QA, maintenance, and frequent production releases
Design, operate, and improve AWS cloud infrastructure for performance, scalability, and cost
Lead large initiatives end to end, including technical specifications, design reviews, planning, and delivery across teams
Lead design and code reviews, uphold code and data quality, and mentor engineers
Translate ambiguous cross-organizational data problems into standardized solutions
Partner with Product, Design, Analytics, and Data Science leaders to shape specifications and deliver high-impact solutions

Requirements

What you’ll need

8+ years of data engineering or software development experience in a commercial setting, including technical leadership on medium-to-large projects
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Experience taking significant projects from design through production, with growing ownership of technical direction
Deep experience designing and implementing complex ETL/ELT from concept to production, including SLAs, performance measurement, and monitoring
Comprehensive data design and data modeling experience, and advanced SQL across large, complex datasets
Extensive experience with big data technologies and cloud data warehouses (Snowflake, BigQuery, Hadoop/Hive) at terabyte-and-growing scale
Experience building reusable frameworks, platforms, or tooling that other engineers depend on
Hands-on proficiency in both Python and Java for production systems
Systems performance and tuning expertise, including understanding of scalability and cost impacts
Familiarity building REST services and working with event queue systems
Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers
Ability to operate autonomously in loosely defined problem spaces and prioritize effectively
Strong interpersonal and communication skills
Intense curiosity and enthusiasm for solving difficult problems
Self-paced, organized, and detail-oriented, with a strong sense of ownership

Benefits

Comp & perks

Competitive compensation packages, including base salary, annual bonus, and more
“Work your way” flexibility with a remote-friendly approach and the option to join on-site as often as desired in select locations
Flexible schedule
Donation matching for qualifying charitable donations
Annual tuition assistance for qualified programs
Annual lifestyle benefit for travel, wellness, or other uses
Travel discounts and other travel perks
Employee assistance program
Health benefits with coverage and competitive premiums
Generous referral awards for successful candidate referrals