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# Senior Data Engineer (GCP/Platform)

- **Company:** Doingthis
- **Location:** Slough, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, BigQuery, Cloud Computing, Information Engineering, Data Infrastructure, Python (Programming Language), SQL Databases, ReactJS, Backend, Fastapi, Terraform, Data Pipelines
- **Published:** June 7, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/38412793/

## About the Role

What experience you'll need to applyStrong Data Engineering experience in a cloud environmentHands-on experience with GCP (& BigQuery)Experience building data pipelines (Airflow, dbt or similar)Strong Python skills (production pipelines or backend work)Solid SQL and data modellingNice to have:Terraform or infrastructure exposureExperience building internal tools or working cross-functionallyComfortable working in a start-up or scaling environment is a bonusBonus points if you've worked with React, FastAPI, or in scientific or energy domains

## Description

Build and own a GCP data platform in a high-impact, early-stage business£100K plus equity in a well-funded Series A start-up.Own and shape a GCP data platform (BigQuery, Airflow, dbt).Real progression into a future leadership role.
We're working with an early-stage, well-funded tech-led start-up. They're looking for a Senior Data Platform Engineer to take ownership of their growing platform and help scale it as the business expands globally.
What you'll be doingThis is a key hire for the business, with real ownership from day one and scope to grow into a broader leadership role as the company scales; You'll sit at the centre of a highly technical team of scientists and engineers, taking ownership of a growing data platform and evolving it as the business scales. This is a hands-on role where you'll build, improve and own pipelines, internal tools and platform services end-to-end.
As Senior Data Platform Engineer, you'll take full ownership of the existing data platform and evolve it as the business grows. You'll work across backend services, cloud infrastructure, and internal tools. A big part of the role is turning experimental workflows and scripts into reliable, production-ready systems that scientists can trust and use daily.
You'll manage and extend a GCP-first platform, working with tools like BigQuery, Airflow, dbt, and and so much more. Sound like you?


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