We are seeking a highly skilled and motivated Cloud Engineering Consultant to join our dynamic and growing team. In this client-facing role, you will be instrumental in designing, building, and maintaining robust and scalable cloud infrastructure for a diverse range of clients across the UK and EMEA. Your work will form the foundation of our customer’s Data Platform and AI solutions, directly contributing to our clients' success.

Requirements

into secure, efficient, and innovative cloud architectures. You’ll collaborate closely with AI engineers, data engineers, and application developers.

, providing expert advice and designing best-practice cloud solutions on Azure. Infrastructure Build & Deployment: Lead the hands-on implementation and deployment of cloud infrastructure using Infrastructure as Code (IaC) principles with tools such as Terraform or CloudFormation. Data Platform Enablement: Architect and build the foundational cloud services required to support modern data platforms, including data lakes, data warehouses, and machine learning environments.

Automation & CI/CD: Develop and manage CI/CD pipelines to automate the deployment, testing, and integration of infrastructure and applications. Managed Services & Support: Provide ongoing operational support and maintenance for client cloud environments as part of our managed services offering, ensuring reliability, security, and performance. Security & Governance: Implement and enforce cloud security best practices, cost management strategies, and governance policies to ensure client environments are secure, compliant, and cost-effective.

Mentorship & Knowledge Sharing: Act as a subject matter expert within the business, and contributing to internal best practices and knowledge bases. Essential: Proven commercial experience in a Cloud Engineer, DevOps, or Cloud Consultant role. , Virtual Machines, Azure Storage, Virtual Networks / Gateways, RBAC, Management Groups, Azure SQL / Managed Instance, Azure Functions, Azure Data Factory, Azure Kubernetes Service / Azure Container Service).

Strong proficiency in Infrastructure as Code (IaC) using Terraform and/or Bicep with good understanding of Azure Resource Manager. Experience with scripting and automation using languages such as Python, Bash, or PowerShell. Solid understanding of CI/CD principles and experience with tools like Jenkins, Github Actions, GitLab CI, or Azure DevOps (ADO).

Knowledge of containerisation technologies (Docker) and orchestration platforms (Kubernetes). Excellent communication and interpersonal skills, with a proven ability to engage with technical and non-technical stakeholders. A consultative mindset with strong problem-solving and analytical skills and ability to communicate technical concepts to non-technical stakeholders.

Comfortable working in agile, client-facing environments with autonomy and ownership. g. AZ-104, AZ-305, AZ-400).

Experience working in other cloud environments (AWS, GCP). , Snowflake, Databricks, Azure Synapse, Azure HDinsight, Azure AI Foundry). Remote-first working with flexibility around client needs.

Private medical insurance. Projects with global brands & public sector leaders, working on real-world impact. Exclusive access to Microsoft & Databricks certifications, training, and partner tools.

Cloud Engineering Consultant (Azure)