Sr Data Engineer - GCP, BigQuery, Claude Code, Snowflake
Txp
Bristol, United Kingdom
2 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Part-time / full-time
Experience level
Expert
Compensation
£156,000 - £156,260
Working hours
Regular working hours
Job source
Tech stack
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
+2 more
AI Coding Agents
Data Pipelines
Job 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.
Requirements
- 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.
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.
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Prepare application
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