IT & Software

Google Cloud Platform Data Engineer

PA Consulting

Bristol · Bristol · United Kingdom

Overview

As Principal GCP Data Engineer, you drive data-driven solutions on Google Cloud, leading delivery and shaping architecture. You will guide end-to-end data processing initiatives and mentor the team, ensuring robust, scalable pipelines. This role sits at the intersection of technology and client delivery, influencing decisions and best practices across projects. You’ll work with cross-functional stakeholders to translate business needs into reliable data platforms, delivering meaningful impact for enterprise clients.

Pay / Benefits
  • Private medical insurance
  • Interest free season ticket loan
  • 25 days annual leave ( buy 5)
  • Company pension scheme
  • Annual performance-based bonus
  • Life and income protection insurance
Responsibilities
  • Develop data processing jobs with Dataflow, Dataproc and BigQuery
  • Design and deliver automated data pipelines using Cloud Composer
  • Shape end-to-end solutions and contribute to architecture discussions
  • Own development processes and enforce robust patterns across code quality and deployments
  • Define and evolve data engineering standards and practices
  • Lead technical discussions with client stakeholders for buy-in
  • Coach and mentor team members to build expertise
Key requirements
  • Production-ready data processing solutions experience using BigQuery, Pub/Sub, Dataflow and Dataproc
  • End-to-end solutions with batch and streaming frameworks (Apache Spark, Apache Beam)
  • Expert in data storage technologies (relational/non-relational, data lakes, data warehousing)
  • Knowledge of data pipeline patterns (ETL/ELT, event-driven, stream processing)
  • Ability to translate business requirements into technical designs
  • Experience with metadata management products (Cloud Data Catalog, Collibra) and data governance tools (Dataplex)
  • Cloud-native data platform experience on GCP and data quality/quarantine solutions
  • CI/CD practices (Git, automated tests, automated deployments)
  • Agile experience (Scrum or Kanban)
  • Clear written and verbal communication with clients and peers
  • Influence across senior stakeholders
  • Problem solving and troubleshooting
  • GCP data tools (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer)
  • Apache Spark and Apache Beam
  • Data storage technologies (relational/non-relational, data warehouses, data lakes)

Reference: WJ-747_30177369

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