4 infrastructure data engineer jobs found in London

Cloud Security Engineer (GCP / IAM / Encryption) - Contract Rate: £600 day Outside IR35 Location: London - hybrid (3 days onsite) - Non negotable Duration: 12 month Clearance: Active SC, willingness for DV Overview Join a high-impact programme delivering secure, large-scale cloud infrastructure within a UK government environment. You'll help design and secure a private/distributed cloud platform supporting critical national services. Key Responsibilities Design & implement secure workloads in Google Distributed Cloud (GDC) / GCP (GDC experience not necessarily needed but would be strongly desired) Build and manage IAM architectures (SSO, MFA, privileged access lifecycle) Enforce least privilege via resource hierarchies, policies, and constraints Configure network security controls (firewalls, WAF, service perimeters) Deliver data protection & encryption (KMS, CMEK/EKM, sensitive data handling) Secure CI/CD pipelines with vulnerability scanning and...

Cloud Security Engineer (GCP/IAM/Encryption) - Contract Rate: £600 day Outside IR35 Location: London - hybrid (3 days onsite) - Non negotable Duration: 12 month Clearance: Active SC, willingness for DV Overview Join a high-impact programme delivering secure, large-scale cloud infrastructure within a UK government environment. You'll help design and secure a private/distributed cloud platform supporting critical national services. Key Responsibilities Design & implement secure workloads in Google Distributed Cloud (GDC)/GCP (GDC experience not necessarily needed but would be strongly desired) Build and manage IAM architectures (SSO, MFA, privileged access life cycle) Enforce least privilege via resource hierarchies, policies, and constraints Configure network security controls (Firewalls, WAF, service perimeters) Deliver data protection & encryption (KMS, CMEK/EKM, sensitive data handling) Secure CI/CD pipelines with vulnerability scanning and policy...

Senior Software Engineer - Outside IR35 - Contract (Insurance) About the role Essential: Self-starter, someone who can pick up context quickly, drive outcomes efficiently, and to a high quality Competent in doing high-level designs, solution management, and scoping Understanding of data modelling best practices Ability to translate technical solutions to non-technical stakeholders and bring them on the journey Experience working in an agile delivery environment Experience working with React, TypeScript, Azure, Microsoft SQL, and Databricks (if they don’t have all of these, that’s workable, but be good to understand any they don’t have experience with) Frontend: React + TypeScript + Vite Material UI with Emotion for styling TanStack React Query 5 for server state React Router 7 React Hook Form+Yup for forms/validation MSAL for Entra ID auth Jest+Testing Library for unit tests; Playwrightfor E2E and visual tests Hosted as an Azure Static...

Senior Data & ML Engineer Contract - Outside IR35 - Initial 6 month contract £650-£750 per day London - Hybrid working We are partnering with a rapidly growing financial services business that is investing heavily in its machine learning and data platform capabilities. This is a hands-on engineering role focused on helping Data Science teams build, deploy, and scale machine learning solutions in production. The work sits at the intersection of data engineering, machine learning engineering, and MLOps, with a strong focus on production systems, feature engineering, workflow orchestration, and model lifecycle management. What you'll be doing Design and build scalable data and feature engineering pipelines to support machine learning workloads Work closely with Data Scientists to operationalise models and improve the end-to-end machine learning lifecycle Develop and optimise PySpark-based data processing workflows and training pipelines Build and...