Queen Square Recruitment
GCP Data Engineer
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GCP Data Engineer
💰 £450/day (Inside IR35)
📍 London/Bristol (2/3 days pw onsite)
📅 1 year Contract
Our client is looking for an experienced GCP Data Engineer to join the Mobile Frameworks Lab within a major UK banking environment. You will work with BigQuery, Dataflow, Cloud Composer/Airflow, Cloud Storage, Cloud Run, DBT, SQL and Python/PySpark, supporting data solutions that help the bank understand and improve customer interactions across its digital and mobile channels.
Key Responsibilities
- Design, develop and maintain scalable GCP data pipelines using BigQuery, Dataflow and Cloud Storage.
- Develop data transformation and modelling solutions using DBT (Data Build Tool).
- Write and optimise SQL, Python and/or PySpark for data processing and automation.
- Build and support data ingestion pipelines using Dataflow and/or Data Fusion.
- Implement and maintain workflow orchestration using Cloud Composer / Apache Airflow.
- Develop and support cloud-native data processing solutions using Cloud Run.
- Monitor, troubleshoot and optimise production data pipelines to ensure reliability and performance.
- Manage production incidents, change requests (CRs) and problem records (PRBs).
- Work with LBG scheduling tools such as TWSD, alongside cloud-native orchestration.
- Develop modular, reusable and testable data transformation pipelines using DBT.
- Investigate data pipeline failures, perform root-cause analysis and implement permanent fixes.
- Support data quality, pipeline monitoring and operational improvements.
- Collaborate with engineering, platform and business teams to deliver reliable data solutions.
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Essential Skills
- Strong hands-on Google Cloud Platform (GCP) experience.
- Strong experience with BigQuery, Dataflow, Cloud Composer/Airflow, Cloud Storage and Cloud Run.
- Proficiency in SQL, Python and/or PySpark.
- Hands-on experience with DBT (Data Build Tool) for data transformation and modelling.
- Experience with data ingestion patterns, including Dataflow or Data Fusion.
- Strong knowledge of data pipeline orchestration and scheduling.
- Experience with LBG schedulers such as TWSD.
- Proven experience supporting production data pipelines, including monitoring and troubleshooting.
- Experience managing incidents, change requests (CRs) and problem management (PRBs).
- Strong analytical and problem-solving skills.
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Desirable Skills
- Experience with AI and Machine Learning.
- Monitoring and observability tools such as Dynatrace and Splunk.
- Previous experience within Banking / Financial Services.
- Experience supporting data platforms in complex enterprise environments.
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