

Insight International (UK) Ltd
Data Engineer (GCP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (GCP) contract position based in London/Sheffield, UK, requiring expertise in Scala, GCP, and observability. Key responsibilities include evolving an enterprise observability platform and ensuring compliance across geographies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 4, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Data Engineering #Automation #Leadership #Scala #GCP (Google Cloud Platform) #Documentation #Compliance #Observability #Storage #AI (Artificial Intelligence) #Grafana #Strategy
Role description
Role: GCP DATA ENGINEERING
London/Sheffield, UK
Contract role
Please see the JD below:
• From solution architecture point of view, own and evolve enterprise observability platform (Grafana, Loki, Mimir, Tempo, OpenTelemetry) deployed across on-prem and GCP
• Drive platform scale-out strategy based on onboarding growth, data volumes, and regional expansion
• Lead rollout into new geographies (GCP/on-prem), ensuring consistency, resilience, and compliance
• Enable internal client onboarding and adoption, tailoring observability patterns to application and data requirements
• Translate client-specific needs into standardised yet flexible observability architectures
• Define and enforce multi-tenant architecture, isolation, RBAC, and governance models
• Establish reusable onboarding frameworks, templates, and automation for tenant provisioning
• Drive application and data observability adoption (instrumentation patterns, OTEL standards, pipeline observability)
• Work closely with platform, and engineering teams to ensure scalable ingestion, storage, and query performance
• Optimise platform for cost, performance, and operational efficiency as adoption increases
• Act as a hands-on architect – capable of troubleshooting, tuning pipelines, and extending platform capabilities
• Create and maintain standard architecture designs, reference implementations, and client-facing service documentation
• Provide technical leadership and advisory across onboarding, architecture reviews, and observability maturity journeys
• Ensure global consistency with local flexibility across regions, platforms, and business units
• Distilling AI driven Roadmap and architecture
• Business and commercial acumen to showcase ROI of the solution.
Role: GCP DATA ENGINEERING
London/Sheffield, UK
Contract role
Please see the JD below:
• From solution architecture point of view, own and evolve enterprise observability platform (Grafana, Loki, Mimir, Tempo, OpenTelemetry) deployed across on-prem and GCP
• Drive platform scale-out strategy based on onboarding growth, data volumes, and regional expansion
• Lead rollout into new geographies (GCP/on-prem), ensuring consistency, resilience, and compliance
• Enable internal client onboarding and adoption, tailoring observability patterns to application and data requirements
• Translate client-specific needs into standardised yet flexible observability architectures
• Define and enforce multi-tenant architecture, isolation, RBAC, and governance models
• Establish reusable onboarding frameworks, templates, and automation for tenant provisioning
• Drive application and data observability adoption (instrumentation patterns, OTEL standards, pipeline observability)
• Work closely with platform, and engineering teams to ensure scalable ingestion, storage, and query performance
• Optimise platform for cost, performance, and operational efficiency as adoption increases
• Act as a hands-on architect – capable of troubleshooting, tuning pipelines, and extending platform capabilities
• Create and maintain standard architecture designs, reference implementations, and client-facing service documentation
• Provide technical leadership and advisory across onboarding, architecture reviews, and observability maturity journeys
• Ensure global consistency with local flexibility across regions, platforms, and business units
• Distilling AI driven Roadmap and architecture
• Business and commercial acumen to showcase ROI of the solution.






