BigQuery Data Engineer

TXP; City Of London; Hybrid; GBP 83,000 - 120,000; Full time

Job summary

TXP is seeking a BigQuery Data Engineer for a 4-6 month contract in the UK. The role involves building BigQuery pipelines to transform set-top-box viewing feeds into exposure tables and performing privacy-safe joins with outcome data in BigQuery and Snowflake clean rooms.

You will work directly with partners' data teams. Candidates should have hands-on data engineering experience with Python, SQL, and GCP, with Snowflake experience being a plus.

Qualifications

• Hands-on data engineering using Python, SQL and BigQuery in a cloud environment.
• Snowflake and privacy-safe joins (clean rooms) experience is a plus.
• Interest in AI-assisted coding and working with data beyond simple ETL tasks.

Responsibilities

• Build BigQuery pipelines to turn set-top-box viewing feeds into exposure tables.
• Implement privacy-safe joins between exposure data and outcome data in BigQuery and Snowflake clean rooms.
• Collaborate directly with partner data teams.

Skills

BigQuery

Python

SQL

GCP

Data pipelines

Tools

Snowflake

Job 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.