4 of 4 GCP Data Engineer Jobs in the UK

GCP Data Engineer Job Summary :We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines … Data Engineer, with a strong focus on Google Cloud Platfor m.In-depth knowledge and hands-on experience with core GCP data services such a s:BigQuer y: For data warehousing, querying, and analytic s.Cloud Dataflo w: For batch and stream data ...

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. … 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? What experience you’ll need to apply Strong ...

Senior GCP Data Engineer A global exchange with a media and market data business attached are building out their AI & Data Platform team and need multiple Senior Data Engineers based in London to help the business move to Google … precise enough for AI agents to query correctly What they're looking for: 5+ years in data engineering, production pipelines, layered architectures GCP/BigQuery hands-on experience, as well as other Google Cloud services. Looker/LookML is a plus If you're looking to join ...

Responsibilities Pipeline Development: Design, develop, and maintain robust end-to-end data pipelines and orchestration workflows using Python , Apache Airflow , and Cloud Composer on GCP. Data Modernization: Bridge the gap between legacy/on-premise database environments and modern cloud architectures, ensuring seamless data … engineering principles, including Git/GitHub version control, strict PR disciplines, automated unit/integration testing, and deployment via CI/CD pipelines. Data Governance & Compliance: Embed data quality controls, access management, data lineage, and privacy frameworks required to meet stringent prudential/regulatory ...