Sr Data Engineer - GCP, BigQuery, Claude Code, Snowflake

TXP; City Of London; Hybrid; GBP 80,000 - 105,000; Full time

Job summary

TXP is seeking a Senior Data Engineer to design and maintain data pipelines in GCP and BigQuery. The role will involve building privacy-safe joins in Snowflake, aiding cloud migration, and collaborating with external partners and internal teams.

You should be comfortable working with Python and SQL in a production environment. The position is UK-based, with 1 day per week in London, and a contract lasting 4–6 months, Inside IR35 via Umbrella.

Qualifications

• Senior hands-on Data Engineer with production experience in GCP, BigQuery, Python and SQL.
• Snowflake and privacy-safe joins experience.
• Strong problem-solving focus and data accuracy.

Responsibilities

• Work with GCP and BigQuery pipelines, including completing partially built exposure tables.
• Build and debug privacy-safe data joins using BigQuery and Snowflake clean rooms.
• Support migration to a new cloud organisation, including cloud security and best practices.
• Some AWS work.
• Collaborate with external partners' data teams and internal stakeholders.

Skills

GCP

BigQuery

Python

SQL

Snowflake

AI coding

Communication skills

Job description

Senior Data Engineer

£500.00 Per Day - Inside IR35 via Umbrella

Location: 1 day per week in London (Candidates must be UK based and state their location)

Duration: 4 - 6 months

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.

Responsibilities

• 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.