4 of 4 Permanent Data Pipeline Jobs in Exeter

leading data consultancy is seeking an experienced Senior Data Engineer to join their team and deliver cutting-edge solutions for a major transportation project. This is an exciting opportunity to work on a high-impact initiative for a well-known UK transport provider, leveraging modern cloud … technologies to transform data capabilities. About the Role The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates … weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human ...

managing technical roadmaps and stakeholder expectations. Confident working with cloud services (e.g., AWS, Azure) and CI/CD pipelines. Familiarity with reporting systems, data pipelines, and system configuration tools. Exposure to frontend frameworks such as Vue.js or React. Prior involvement in system re-architecture or platform migration projects. ...

growth, scaling the platform, and building a high-performing engineering team. About the Role You will take full ownership of the platform architecture, data pipelines, integrations, and multi-tenant SaaS infrastructure. This is a highly visible, strategic role where you will work closely with the founder and early … customers, ensuring the platform is scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud ...