Average salary: £95,411 /yearly
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£15k - £72k per annum
...business-ready datasets aligned with agreed metrics and definitions Own and evolve models that underpin dashboards, management information (MI), regulatory reporting, and ad-hoc analysis Collaborate with business and technical teams to understand requirements and deliver...SuggestedFull-timeHybrid workingOn-site- We are Zure At Zure, we help organisations turn Microsoft’s cloud and AI capabilities into real business outcomes. Our roots are in Azure engineering, and our culture is built on craftsmanship, transparency, and doing the right thing for the customer. We are now growing...SuggestedOn-siteRemoteFlexible hours
£75k - £90k per annum
Salary: £75,000 - 90,000 per year Requirements: Strong experience with Azure Data Factory and the Microsoft data stack Solid SQL and Python skills Experience building and maintaining data pipelines and integrations Ability to work in a hands-on, delivery-focused...SuggestedFull-timeHybrid working£40k - £45k per annum
...while improving data quality, consistency, and the organisational understanding of data. We are looking for someone who can collaborate across teams and departments, acting as the go-to specialist for BI, reporting, and management information. last updated 15 week of 2026...SuggestedFull-time£40k - £45k per annum
...dashboards that help colleagues across the Trust make better, data-informed decisions — ultimately supporting our mission of enabling... ...and maintain cost effective, automated reporting solutions. Develop data models integrating multiple data sources including data from...Suggested£60k - £80k per annum
...and admissions workflows, so reliability, security and clean engineering decisions matter. We’re looking for a Senior Back-End Developer with strong Python/Django experience who wants to take real ownership of systems and grow towards a Technical Lead role over...SuggestedLong-term contractPermanentFull-timeRemoteWork from home- £60k - £81k per annumEstimated...Designing and implementing AI agents and autonomous workflows. Building secure LLM integrations, tooling, and internal APIs. Developing and hardening RAG pipelines and data access controls. Improving observability, evaluation, and safety guardrails for AI systems....SuggestedPermanent


