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
BigQuery Data Engineer in London employer: TXP
At TXP, we are committed to creating a dynamic and inclusive work environment where our employees can thrive. As a Senior Data Business Analyst in Birmingham, you will not only engage in meaningful projects within the pensions and insurance sectors but also benefit from our strong focus on professional development and social responsibility. Join us to be part of a team that values diversity, fosters growth, and makes a positive impact in the community.
