IT & Software

GCP Data Engineer

Involved Solutions

London · England · United Kingdom

Salary: £68,000 - 108,000 per year

Requirements:

  • 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
  • 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

Responsibilities:

  • 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

Technologies:

  • Airflow
  • BigQuery
  • CI/CD
  • Cloud
  • Composer
  • DevOps
  • ETL
  • GCP
  • Java
  • Python
  • Scala
  • Security
  • Support

More:

We are a globally established organisation offering a permanent GCP Data Engineer position based in London on a hybrid basis, with 3 days per week onsite. This full-time role offers a salary of up to 85,000 plus bonus and benefits. You will help build modern, scalable cloud data platforms within a complex enterprise environment, with strong exposure to cloud transformation and enterprise-scale data delivery.

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Reference: WJ-766_21911843

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