Technical Lead

Technical Lead • Contract Duration: 6 months • Location: Farringdon, London (Hybrid - 2-3 days a week onsite) • Daily Rate: Inside IR35 We are seeking a hands-on Technical Lead to spearhead the design, engineering, and delivery of scalable, cloud-native data solutions across our enterprise data platform. This role is perfect for a technically adept engineering lead with expertise in data engineering, full-stack development, cloud platforms, and modern AI-enabled software delivery practices. Day-to-day of the role: • Lead the end-to-end delivery of cloud-native data products and applications, including data ingestion, transformation, serving layers, and user-facing applications/UI. • Translate business requirements into scalable, secure, production-ready technical solutions. • Architect and implement modern distributed systems and data platforms aligned to strategic architecture principles. • Drive engineering best practices across CI/CD, DevOps, automated testing (TDD/BDD), release management, and code quality and governance. • Promote and embed Agentic SDLC practices including AI-assisted development, automation, code generation, and test acceleration. • Ensure all solutions are documented in accordance with data and engineering standards. • Deliver end-to-end applications leveraging modern APIs, data platforms, front-end interfaces, and cloud-native infrastructure. • Integrate analytics, data science, and operational data pipelines into front-line business applications. • Support scalable and resilient architecture design across multi-cloud environments. • Collaborate closely with Product Owners, Architects, Engineers, and stakeholders across the business. • Operate effectively within Agile delivery environments using Scrum and Kanban methodologies. • Mentor engineers, establish technical standards, and contribute to capability development across the team. Required Skills & Qualifications: • Strong hands-on experience in front-end & application development (React.js/Next.js), backend development (Java or Python), and building secure, scalable APIs and distributed applications. • Expertise in data engineering & platforms including SQL, data warehousing, ETL/ELT pipelines, data modelling, and integration of data science and analytics. • Experience delivering cloud-native solutions, ideally within Google Cloud Platform (GCP), or equivalent AWS or Azure experience. • Proficiency in Kubernetes, Jenkins, CI/CD tooling, and multi-cloud environments. • Strong understanding of DevOps principles, automated testing frameworks (TDD/BDD), release management, version control, and cloud deployment practices. • Daily use of tools such as Jira and Confluence. Qualifications, Methodologies & Background: • Degree qualified in Computer Science, Engineering, Data, or a related discipline, or equivalent practical experience. • Relevant Cloud certifications (Google Cloud preferred) strongly desirable. • Proven experience delivering enterprise-scale cloud and data solutions. • Experience embedding analytics or data science into operational business systems. • Exposure to large-scale platform migration or transformation programmes.