Jobs at UBDS Digital

6–8 week graduate programme training early-career consultants to use AI responsibly in consulting. Develop business analysis, structured problem solving, service design, stakeholder management, project delivery and communication skills while gaining hands-on client experience and continuous professional development.

The Full Stack Developer will design, develop, and maintain web applications using Strapi CMS and collaborate within an Agile team to deliver user-centred digital services that meet accessibility standards.

Lead client engagements to define AI strategy, design enterprise AI platforms and governance, architect secure scalable Generative AI and agent solutions, deliver high-quality roadmaps and designs, mentor teams, and support business development.

Design and govern cloud-based solutions (primarily Azure/AWS), produce low-level architecture, engage stakeholders, lead digital transformation discovery, manage platform roadmaps, and ensure architectural governance across projects.

The AWS DevOps Engineer will design, build, and maintain cloud infrastructure, CI/CD pipelines, and automation frameworks, ensuring adherence to DevSecOps principles.

Lead design and delivery of production-grade data pipelines, models and analytics on cloud platforms. Translate ambiguous problems into technical solutions, build/operate ETL/streaming, embed governance, integrate ML, apply software engineering practices, and communicate insights with visualisations and consultancy-grade materials.

The Principal AI Platform Engineer leads AI architecture design and implementation, guiding teams to deliver secure AI solutions and mentoring engineers.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

The Cloud Engineer will deliver Azure solutions, manage client engagements, and support cloud migration efforts while ensuring best practices.

The Senior Test Engineer will design and implement automated testing frameworks, lead data validation, and enhance cloud transformation programs while ensuring data quality and integrity.

Lead and support transformation initiatives, modernizing legacy systems, applying User-Centred Design principles, influencing stakeholders, and ensuring successful delivery outcomes.

The Senior Azure Engineer will design and manage Azure-based infrastructure, implement CI/CD pipelines, and mentor junior engineers while ensuring compliance with security standards.

The Senior Consultant - Business Analyst will deliver strategic change by eliciting, analyzing requirements, and supporting data initiatives in agile settings.

Senior Azure AI Engineer working in an agile AI squad to design, develop and deploy Azure-based AI solutions — including assistants, copilots, retrieval/RAG systems, cloud-native applications, integrations, security/governance, testing and optimisation — collaborating with analysts, architects and delivery teams to deliver business outcomes.

The Client Partner will manage and grow strategic client relationships, primarily in the public sector, and drive account growth through strategic business development and client satisfaction.

Design, build, and operate scalable cloud-native infrastructure and platform services. Implement and optimise GitLab CI/CD pipelines and reusable components, manage Kubernetes clusters, develop IaC and automation, improve developer experience via IDPs like Backstage, write modular Bash automation and tests, and collaborate to improve platform reliability, security, and operational excellence.