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This role is central to DSIT’s ambition to unlock the full value of departmental data by replacing fragmented systems with a unified analytical tooling and data platform. By helping deliver this platform, you will directly enable analysts across the department to access tools and data quickly and securely. This will allow them to improve the evidence-base for key AI, science and emerging technologies policy decisions. This work will also provide the foundation for future AI tools, automation, and streamlined cross team collaboration in DSIT. The new platform will ensure analysts have: Timely, reliable access to high-value datasets Tools to carry out reproducible, secure, and efficient analysis Clear processes for procuring, ingesting, and sharing data A shared environment that reduces duplication and enables joined-up insights across teams Our design draws on the Ministry of Justice’s open source Analytical Platform, widely recognised as a leading model across government and has been adapted to meet DSIT’s needs as the digital centre of government. A platform in two parts The DSIT analytical platform is being delivered through two interconnected strands: 1. Analytical tooling – delivering the secure, scalable tools analysts need, such as JupyterLab, RStudio, VS Code, Git integration, and cloud-based workflow orchestration. 2. Data platform – delivering the pipelines, storage, and ingestion processes that ensure analysts can find and use trusted data efficiently. Overall, the technical side of the platform team consists of two Lead DevOps Engineers, two Lead Data Engineers and three Software Developers. The team is led by a Product Owner, with support from a Technical Lead. Initially, this role will focus on strengthening and extending the analytical tooling infrastructure to meet the needs of analysts in DSIT. As the platform matures, you’ll also have opportunities to tackle broader DevOps challenges across the department, including data science and AI applications that improve operational efficiency and widen access to data for non-technical users. Timelines: Phase 1: establishing the core tooling, cloud services, controls and user interfaces. This will already be complete. Phase 2: User onboarding and refinement. You will join for this phase. We will support a core group of analysts as early users on the platform and then expand the user base as we migrate from old solutions. Your role will be to ensure the environment performs as expected under real workloads, refine the infrastructure in response to feedback, and develop new features ready for broader adoption across the department. Where this role sits The role is part of DSIT’s central Data Science and Engineering team, part of the department’s Analysis function. This team plays a key role in shaping DSIT’s analytical capability and works closely with technical colleagues in the Integrated Corporate Services (ICS) Digital team. By sitting within Analysis, the team ensures the platform is developed with analysts’ needs front and centre—owned by the analytical community and built to serve it. As a G7 DevOps Engineer in the analytical tooling strand of the project, you will own and extend the infrastructure and tools that enable analysts to work securely, reproducibly and efficiently. You’ll take forward the platform to ensure it is a secure, cloud-based environment for analysis at scale, drawing on best practice across government. Your work will directly improve evidence-based policymaking, unlock efficiency savings across the department, and create the foundations for future innovation and AI-enabled tools.