AI-Driven BigQuery Data Engineer for Privacy-Safe Pipelines

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

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.