GCP Data Engineer - up to £85,000 + Bonus - Hybrid/London
GCP Data Engineer (BigQuery / Dataflow) Salary: Up to £85,000 + Bonus + Benefits Location: London - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full time Job Type: Permanent
A globally established organisation is seeking an experienced GCP Data Engineer to help build modern, scalable cloud data platforms within a complex enterprise environment.
This GCP Data Engineer role will focus on designing data architectures on Google Cloud Platform, building high-performance pipelines, and enabling reliable, secure and governed data solutions that support business growth and decision-making.
Responsibilities for the GCP Data Engineer:
- Design and build scalable data pipelines, ETL/ELT workflows and cloud data architectures on GCP
- Develop solutions using services such as BigQuery, Dataflow, Spanner and Cloud Storage
- Build and maintain code using Python, Java or Scala for data transformation and processing
- Optimise data pipelines, queries and workloads for performance and scalability
- Implement data quality, validation and governance controls
- Collaborate with cross-functional teams to deliver end-to-end data solutions
- Ensure alignment with security, privacy and compliance standards
- Troubleshoot issues across pipelines and processing workflows
- Maintain documentation across data flows, platforms and architectures
Essential Skills for the GCP Data Engineer:
- Strong experience as a Data Engineer within GCP environments
- Hands-on experience with BigQuery, Dataflow and Spanner
- Strong programming capability in Python, Java or Scala
- Experience with Apache Beam / Dataflow and distributed processing frameworks
- Experience designing and managing ETL / ELT pipelines
- Solid understanding of data modelling and database design
- Experience with workflow orchestration tools such as Apache Airflow
- Strong understanding of data governance, security and scalability
Desirable Skills for the GCP Data Engineer:
- Experience with Pub/Sub, Cloud Composer or Cloud Data Fusion
- Exposure to CI/CD, DevOps and Infrastructure as Code
- Experience with real-time streaming architectures
- Knowledge of modern data governance frameworks
If you are an experienced GCP Data Engineer looking to build enterprise-scale data platforms using modern Google Cloud technologies, this role offers strong exposure to complex delivery and cloud transformation.
GCP, Data Engineer, GCP Data Engineer