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4 azure data engineer jobs found in London

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London azure data engineer £700 and up
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Greater London  (4)
Outside Spy
Apr 28, 2026
Duration not stated
Senior Data Engineer at CipherTek Recruitment, City Of London, £850 per day
£850 per day
Outside Spy City Of London, England, United Kingdom
🔥 Senior / Lead Data Engineer – Databricks / Spark (High-Performance Platform) £850 p/d OUTSIDE IR35 (higher for Lead) 12-month rolling (multi-year programme) 1 day/week – St Paul’s, London We’re hiring a Senior & Lead Data Engineer to build a Databricks lakehouse platform in a high-performance, business-critical Front office trading environment . This is a hands-on engineering role focused on building and optimising large-scale distributed data systems . This is a highly technical team operating at scale, we’re looking for engineers with deep data engineering expertise, strong low-level Spark knowledge , and experience building high-performance systems using modern Databricks and AI-driven platforms. . What you’ll do Build and optimise Spark pipelines on Databricks Develop a lakehouse platform (Medallion architecture) Own data modelling, architecture, and pipeline design Work with large-scale data (TB–PB) Drive performance,...
Outside Spy
Apr 24, 2026
Duration not stated
Azure Back End Integration Engineer at i3, London Area, £700 per day
£700 per day
Outside Spy London Area, United Kingdom
🚀 Back-End Integration Engineer (Contract | Outside IR35) 📍 London (Hybrid: 2–3 days onsite) 💰 £700/day Outside IR35 PLEASE ONLY APPLY IF YOU HAVE THE TECHNICAL SKILLS AS FOLLOWS YOU MUST BE AVAILABLE ON SHORT NOTICE (2 WEEKS MAX) We’re partnering with a top insurer as they continue to modernise their technology landscape with cloud-first platforms, integrations, and automation. This is an initial 6-month contract (Outside IR35) with a strong likelihood of extension or permanent conversion for the right candidate. Strong possibility of offer of a permanent role after or extensions. 🔧 The Role As a Back-End Integration Engineer , you’ll play a key role in designing, building, and maintaining APIs and integration services that connect systems across the organisation. You’ll be hands-on, working across cloud platforms, shaping integration patterns, and improving how data flows between applications—supporting underwriting, operations, and...
Outside Spy
Apr 24, 2026
Duration not stated
Back End Integration Engineer - Azure at I3 Resourcing Limited, The City, London, £600-£700 per day
£600 - £700 per day
Outside Spy City of London, London, UK
Azure Back End Integration Engineer i3 London Area, United Kingdom (Hybrid) Save Apply ?? Back-End Integration Engineer (Contract Outside IR35) ?? London (Hybrid: 2-3 days onsite) ?? £700/day Outside IR35 PLEASE ONLY APPLY IF YOU HAVE THE TECHNICAL SKILLS AS FOLLOWS YOU MUST BE AVAILABLE ON SHORT NOTICE (2 WEEKS MAX) We're partnering with a top insurer as they continue to modernise their technology landscape with cloud-first platforms, integrations, and automation. This is an initial 6-month contract (Outside IR35) with a strong likelihood of extension or permanent conversion for the right candidate. Strong possibility of offer of a permanent role after or extensions. ?? The Role As a Back-End Integration Engineer , you'll play a key role in designing, building, and maintaining APIs and integration services that connect systems across the organisation. You'll be hands-on, working across cloud platforms, shaping integration patterns, and improving how data...
Outside Spy
Apr 21, 2026
Duration not stated
Artificial Intelligence Engineer at Cititec, London Area, £700 per day
£700 per day
Outside Spy London Area, United Kingdom
Senior AI Engineer | £700/day Outside IR35 | 6-Month Contract Industry: Technology / Capital Markets Location: London - 3 days in office Job Type: Contract Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs). You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows. Responsibilities Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks. Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling. Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability. Implement feedback loops...
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