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BigQuery Data Engineer

Skills

aibigqueryclaude codeclouddata engineeringgcppythonsnowflakesqlPythonGCPSQL

Description

BigQuery Data Engineer

Market Day Rate - Inside IR35 via Umbrella

Location: 1 day per week in London (Candidates must be UK based and state their location)

Duration: 4 - 6 months

Role -

  • Linear exposure data: BigQuery pipelines on Google Cloud that turn set-top-box viewing feeds into exposure tables, including one that's half built and needs finishing.
  • Privacy-safe joins between that exposure data and pertness outcome data (card spending, web visits), in BigQuery and Snowflake clean rooms.
  • Working directly with partners' data teams.

Experience -

  • Solid hands-on data engineering: Python, SQL, BigQuery and GCP pipelines.
  • Snowflake and clean rooms or other privacy-safe joins would be a real plus.
  • AI-oriented. They'll work day to day with coding agents (Claude Code and similar) and should want to, not just tolerate it.
  • Interested in the data itself, not just moving it from A to B.

If your profile demonstrates strong and recent experience in the above areas - please submit your application to Jackie Dean at TXP for consideration. Please note applications must include your current location to be considered.

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