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.
Experience -
- 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.
- 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.
- Strong communication skills, as they'll be working directly with several internal and external teams.
Rate:
£500/day
Location:
London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior