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Lead assessment of a complex enterprise infrastructure in the defence sector. Plan discovery, document current-state architecture and dependencies, establish performance baselines, investigate issues, coordinate specialist teams, produce architecture outputs, recommendations and a prioritized remediation roadmap, and act as technical owner through transformation.

Senior technical authority for a data transformation programme: define target Fabric architecture, roadmap and standards; lead architecture reviews and governance; design end-to-end cloud-native data solutions, migrations and streaming pipelines; uplift teams via mentoring; evaluate modern data stack technologies and ensure alignment with business objectives and risk/operational constraints.

The Salesforce Administrator will maintain the Salesforce org, support users, resolve issues, and implement solutions for Finance processes, focusing on Certinia PSA and Accounting.

Build, test, and operate cloud-native back-end services using Java (and Python), following secure coding and accessibility (WCAG) standards. Design and deploy RESTful microservices on Azure, work with SQL Server, CI/CD (GitHub Actions), write unit/integration tests, mentor junior developers, participate in agile practices and code reviews, and support service monitoring and incident fixes.

The Azure Engineer supports technical leads in designing and delivering complex Microsoft technology solutions for clients, while also assisting in presales activities and running technical workshops.

The role involves diagnosing and resolving production incidents, developing fixes in Java, collaborating with teams, and improving system reliability while managing documentation and monitoring performance.

The Sales Development Manager is responsible for business development, acquiring new accounts, optimizing financial performance, and fostering client relationships in a collaborative environment.

The Business Architect will lead business architecture initiatives, aligning strategy with delivery and facilitating transformation in organizations, particularly in the public sector.

Design, build and optimise ETL/ELT pipelines and data foundations across enterprise systems. Profile, cleanse, map and reconcile data, implement quality frameworks, develop scalable data models on cloud platforms, and work with stakeholders to establish repeatable data architecture, governance and reporting for transformation programmes.

Design and govern end-to-end data architectures and standards, guide technology selection, lead large data migrations to cloud-native platforms, enable real-time data services, mentor engineers, and ensure secure, scalable data solutions that support AI/ML workloads.