Google Cloud Platform Data Engineer

iO Associates

Bristol (VA)

Hybrid

USD 87,014 - 113,788

Full time

14 days+

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Job summary

iO Associates are seeking experienced GCP Data Engineers at Senior and Principal levels to lead, design, and deliver high-impact cloud data platforms for clients.

You will work across core GCP services and data pipelines, collaborate with stakeholders, mentor team members, and own end-to-end delivery in a hybrid model with 2 days onsite in Bristol, London, or Manchester.

Qualifications

  • Hands-on experience building production-grade GCP data platforms.
  • Proven ability to lead design and delivery of cloud data pipelines.
  • Strong knowledge of data governance, testing, and SDLC standards.
  • Excellent communication with technical and non-technical stakeholders.

Responsibilities

  • Lead the design and delivery of GCP data platforms.
  • Develop and test batch and streaming pipelines using BigQuery, Dataflow, Dataproc, Pub/Sub.
  • Architect scalable data solutions and guide cloud-native architectures.
  • Mentor engineers and collaborate with client stakeholders.
  • Drive CI/CD automation and maintain data quality and governance.

Skills

GCP
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Apache Spark
Apache Beam
Git
CI/CD
Agile (Scrum/Kanban)
Stakeholder communication

Job description

Location: Hybrid; 2 days per week onsite in Bristol, London, or Manchester

Salary: £65,000 to £85,000 (Dependent on Experience) + Benefits

Security Clearance: Due to the sensitive nature of the client’s programme, candidates must hold active SC Clearance or be eligible to undergo the vetting process. Please note that specific client security restrictions mean this role is strictly restricted to Sole British Nationals.

We are seeking experienced GCP Data Engineers at both Senior and Principal levels to help lead, design, and deliver high-impact cloud data platforms for our clients.

Whether you are focused on constructing resilient, production-ready pipelines or driving end-to-end solution architecture, team leadership, and client engagement, these roles offer direct ownership over complex Google Cloud environments.

What You’ll Do
  • Deliver Core GCP Solutions: Develop, test, and deploy scalable batch and streaming data processing jobs using BigQuery, Dataflow, Dataproc, and Pub/Sub.
  • Automate & Orchestrate: Construct resilient automated workflows using Cloud Composer alongside robust CI/CD deployment pipelines.
  • Ensure Data Quality & Governance: Implement automated testing, monitoring, alerting, and quarantine processes so downstream analytics and business users can rely on the data.
  • Lead Technical Delivery: Shape software development lifecycle standards—driving best practices across architecture, code quality, testing frameworks, and release management.
  • Collaborate & Align Stakeholders: Translate business goals into solid technical specifications and lead discussions with technical teams and senior client stakeholders to secure buy-in.
  • Coach & Mentor: Share specialist knowledge across the team, supporting engineers of all levels and fostering a culture of continuous learning.
What We’re Looking For
  • Hands-on GCP Suite Experience: Proven track record building production-grade solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
  • Frameworks & Storage: Strong understanding of batch/streaming tools (e.g., Apache Spark, Apache Beam) and when to apply different storage paradigms (relational, columnar, document, data lakes).
  • Modern Best Practices: Active practice with version control (Git), automated testing, CI/CD pipelines, and Agile (Scrum/Kanban) methodologies.
  • Communication: Ability to explain technical concepts clearly to non-technical business partners and consult pragmatically on architecture trade-offs.
Bonus Experience:
  • Migration of enterprise-scale legacy platforms (e.g., Hadoop, traditional RDBMS) to GCP.
  • Exposure to streaming platforms like Kafka, MLOps workflows, or data governance tools like Dataplex and Cloud Data Catalog.
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