Sr Data Engineer - GCP, BigQuery, Python, SQL

The role sits within our client’s Measurement Innovation Team. They’re moving towards automating campaign measurement and need a senior, hands-on engineer to help maintain and develop their data pipelines.

The main responsibilities will include:

• Working with GCP and BigQuery pipelines, including completing partially built exposure tables.
• Building and debugging privacy-safe data joins using BigQuery and Snowflake clean rooms, ensuring data security and preventing data exfiltration.
• Supporting the migration to a new cloud organisation, including cloud security and best practices.
• Some AWS work.
• Working directly with external partners’ data teams and internal stakeholders.

• A senior, hands-on Data Engineer with strong production experience in GCP, BigQuery, Python and SQL.
• 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). Someone who actively uses AI coding agents in their day-to-day work and can critically review the output.
• Strong problem-solving skills and an interest in data accuracy, rather than simply building pipelines.
• Experience with Snowflake, data clean rooms or privacy-safe joins would be highly beneficial.
• Strong communication skills, as they’ll be working directly with several internal and external teams.