> Markdown version of [/jobs/ext/4532332-sr-data-engineer-gcp-bigquery-python-sql](https://www.wearedevelopers.com/jobs/ext/4532332-sr-data-engineer-gcp-bigquery-python-sql). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - GCP, BigQuery, Python, SQL - **Company:** Concept Resourcing - **Location:** London, United Kingdom - **Experience:** Expert - **Salary:** £130,000 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, BigQuery, Cloud Computing Security, Information Engineering, Data Security, Software Debugging, Python (Programming Language), SQL Databases, Google Cloud, Claude Code, Snowflake, AI Coding Agents, Data Pipelines - **Published:** November 3, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5951036650 ## About the Role * 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. ## Description 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.