Salary: £80,000 - 80,000 per year Requirements: We require strong experience designing and integrating data solutions. We require hands-on cloud engineering capability across AWS, Azure, or GCP. We require experience with data ingest, transformation, and persistence. We require CI/CD and Agile delivery experience. We require a strong understanding of structured and unstructured data, including schemas, ontologies, taxonomies, and translation/representation issues. We strongly prefer a background in Defence, Public Sector, or secure environments. We require a curious, hands-on mindset with strong stakeholder communication skills. Candidates must be willing and eligible to go through SC and DV clearance. Responsibilities: We design modern data architectures and platforms. We build resilient cloud data pipelines across AWS, Azure, or GCP. We work with structured and unstructured datasets at scale. We drive technical decisions within multidisciplinary engineering teams. We support early-stage concept work through to enterprise-scale delivery. We engage with stakeholders to shape future technical solutions. We architect and deliver scalable cloud-based data platforms. We engineer robust pipelines for complex data environments. We help shape advanced analytics capability in Data, AI, and Analytics. Technologies: AI AWS Architect Azure CI/CD Cloud GCP Support Security More: We are a cutting-edge technology organisation delivering complex, secure data solutions across high-profile national security and defence programmes. This is a Data Solution Engineer role based in Romsey with a hybrid working pattern of 2 days onsite. We offer a salary of £70,000 to £80,000 plus a 6% bonus. You will join a high-growth engineering environment with serious investment in innovation, working on genuinely complex technical problems and highly secure projects with real national impact. This is an opportunity to influence technology choices, contribute across the full delivery lifecycle, and help develop advanced capability in Data, AI, and Analytics. last updated 20 week of 2026