166 jobs
Harnham - Data and Analytics Recruitment London £100,000 – £110,000 pa
Hands-on data engineering lead role at a private equity firm, designing and scaling modern data platforms across a portfolio of companies. Combines technical delivery, data architecture and senior stakeholder advisory, with direct C-suite exposure and a focus on making infrastructure AI-ready for advanced analytics and agentic AI use cases.
Harnham - Data and Analytics Recruitment London £100,000 – £120,000 pa
Hands-on data engineering lead designing scalable, AI-ready data platforms and architectures across an investment firm's portfolio. Combines building end-to-end infrastructure in SQL and Python with advising C-suite teams on data strategy, prioritisation and commercial impact, working tech-agnostically across varied environments.
Circle Recruitment London £100,000 – £120,000 pa
Lead a law firm's enterprise and data architecture function, owning architecture principles, standards, roadmaps and design governance across technology services and platforms. Shape technology and data strategy, build a well-governed data environment for reporting, insight, compliance and responsible AI adoption, and manage a team of Solutions Architects, Consultants and Data Architects. Hybrid working, two days a week in the London office.
eFinancialCareers London £70,000 – £106,000 pa
Designs and builds a greenfield data platform in a hybrid Azure and on-prem environment, creating pipelines, ETL processes and data models while migrating legacy capability. Works within a circa 100-person EMEA Data & Analytics Technology team, mentoring peers and aligning delivery to platform strategy. Requires at least two days a week in the London office.
eFinancialCareers London £700 pd
Hands-on role building AI-powered applications, intelligent workflows and machine learning solutions in Python, taking them from concept through to enterprise production deployment. Involves LLMs, agentic frameworks, AI orchestration, model evaluation, testing and monitoring, working with technical teams and business stakeholders to drive AI adoption.
