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Insight International (UK) Ltd

Data Engineer (GCP)

London
Posted 1 day ago
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Data Engineer (GCP)

Role: GCP Data Engineering

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Location: London/Sheffield, UK
Type: Contract role

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Job Description

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.
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Skills

GCP
Data Engineering
Observability
Grafana
Loki
Mimir
Tempo
OpenTelemetry
Architecture
RBAC
Automation
Client Onboarding
Data Volumes
Performance Optimization
Technical Leadership
AI

Location

London, England, United Kingdom

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