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Cloud Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Data Freelance Hub
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
  • Engineering
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for a Senior Cloud Engineer focused on a Core Data Platform in London (Hybrid). It offers a 12‑month FTC at £75 000 – £95 000. Key skills include Snowflake, AWS, Terraform, and data engineering experience in cloud‑native environments.

Role Overview

PE‑backed media & data technology business building an in‑house engineering capability around a live, revenue‑critical data platform. This senior, hands‑on role focuses on running, improving and scaling a complex cloud data environment as ownership moves in‑house.

Responsibilities
  • Production Snowflake data warehouse
  • Data pipeline reliability and correctness
  • AWS infrastructure, cost and performance
  • Clean rooms and data collaboration workflows
  • CI/CD, monitoring and operational standards
  • Clear documentation and runbooks
Technical Stack
  • Snowflake
  • AWS (Lambda, S3, Glue, RDS, IAM, VPC)
  • Terraform
  • Git Lab
  • AWS‑native monitoring and security tools
Qualifications
  • Senior Cloud or Data Engineer with experience in cloud‑native environments
  • Operated Snowflake at scale in production systems
  • Strong focus on reliability, performance and cost control
  • Comfortable in evolving systems and environments
  • Enjoys hands‑on responsibility over pure design work
  • Early‑stage team influencer, shaping processes and practices
Why It’s Worth a Look

This is a real platform already generating revenue. The problems are practical, not theoretical. You’ll have clear ownership, direct influence, and the opportunity to be close to the system and decisions, building a proper in‑house engineering function around a live data product.

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