3 of 3 Permanent Snowflake Jobs in Oxford

Data Engineer II (Data Platform)

Hiring Organisation
TripAdvisor
Location
Oxford, Oxfordshire, United Kingdom
Salary
Confidential
team builds and maintains:Streaming and batch data platforms that unlock data across TripadvisorETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and HiveOrchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operationsTracking instrumentation, information architecture, and data governance tooling for business … talk.What You’ll DoData Engineering & Data Products, ETLsDesign, 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 ...

Data Engineer II (Data Platform)

Hiring Organisation
Jobleads-UK
Location
Oxford, England, United Kingdom
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 … love to talk. What You’ll Do 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 ...

Data Platform Engineer II — Remote/Hybrid

Hiring Organisation
Jobleads-UK
Location
Oxford, England, United Kingdom
build, and sustain data infrastructure powering our travel platform, writing production-grade Java and Python, and delivering scalable end-to-end data pipelines across Snowflake, BigQuery, and Hive. You will collaborate with Product, Analytics, Data Science, and CRM teams, owning the full data-pipeline lifecycle and ensuring data integrity, governance ...