Overview

Base Location: Reading / Havant / PerthSalary: £600 per dayWorking Pattern: 40 hours per week / Full timeEmbark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you''ll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for to come.Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future.Responsibilities

Provide technical leadership and oversight to the group Data and Analytics platform team.Responsible for ensuring the reliability, security and scalability of analytics platform services.Deliver full automation of the deployment of Data and Analytics platform services via Infrastructure as code.Help to set development standards, configure operational support processes and provide technical assurance.Provide support to Data and Analytics platform users and internal development teams interacting with the Data and Analytics platform services.What you need

Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology.Extensive experience in using Terraform to deploy cloud resources as infrastructure as code.Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions).Strong knowledge of scripting such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL.Strong understanding of cloud access control and governance such as RBAC and IAM.Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables.Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Management.Proven experience in IaaS such as virtual machines - both Windows and Linux.Familiarity with server patching and maintenance.Strong understanding of security best practices within Azure and ideally AWS.Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS.Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams.What happens now?

After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you''re eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days.We appreciate your patience and look forward to the possibility of welcoming you aboard

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