GCP Data Engineer

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.,

• 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, 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.
  
  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