Top Tech Jobs & Startup Jobs in London

Lead design and delivery of scalable, cloud-native backend systems and integrations. Provide technical leadership, conduct code reviews, champion testing and observability, mentor engineers, collaborate with stakeholders, and drive operational excellence.

Lead technical direction and modernise international commerce platforms. Design scalable integrations for product, pricing, fulfilment, partner/marketplace flows. Promote engineering excellence, DevOps ownership, observability, and mentor teams while aligning technology strategy with business goals.

Lead technical design and delivery of supply chain and warehouse software at scale. Drive architecture, DevOps, observability, reliability and performance practices; mentor senior engineers; influence product and technology strategy; promote clean code and engineering excellence across teams; support recruitment and outreach.

Build and maintain automated cloud-based data solutions and scalable ETL pipelines. Design end-to-end data architectures, use Databricks, SQL, Python, and Spark, and ensure reliable, high-quality data delivery. Own complex backlog tasks, support code quality through reviews and pair programming, and experiment with innovative solutions. Help develop analytical tools that enable data-driven decisions, operational efficiency, and improved business performance.

Drives online trading strategies across UK and ROI categories, using data, testing, onsite merchandising, and optimization to improve commercial performance and customer experience. The role owns trading calendars, front-end and back-end capabilities, stakeholder alignment, and continuous improvement initiatives while line managing one or two assistants and supporting their development.

Support the Capacity workstream by translating strategic priorities into actionable plans, driving project progress, coordinating Commercial, Supply Chain, and Supplier Partnerships teams, and maintaining accountability for programme delivery. Build supplier and partner relationships, communicate priorities and progress clearly, track actions and decisions, and use commercial awareness, data analysis, and insight to inform planning and business growth.

Leads complex, cross-functional technology programs from planning through implementation. Responsibilities include shaping roadmaps, coordinating product and engineering teams, managing dependencies, risks, issues, budgets, and governance, and providing data-driven reporting. The role also improves delivery practices, supports service transitions, and coaches Technical Program Managers. Experience with large-scale SaaS implementations, particularly in planning, merchandising, or retail technology, is preferred.

Lead workforce forecasting and planning across assigned portfolios, identify capacity gaps and hiring needs, analyze workforce trends, and provide executive-level insights. The role partners with senior stakeholders, improves workforce data quality and governance, strengthens planning processes, and drives adoption of workforce planning tools. Advanced Excel, analytical thinking, forecasting, presentation, stakeholder management, and problem-solving skills are required.

Lead the architecture and delivery of enterprise analytics and AI solutions across Microsoft Fabric, Databricks, Power Platform, Copilot, and Power BI. Design AI-ready data architectures, semantic models, metric layers, and ontologies; evaluate emerging technologies through proofs of concept; establish governance standards and reusable patterns; optimize platform roadmaps, performance, monitoring, and costs; and mentor teams while modernizing legacy analytics platforms.

Design, build, and support scalable payment services, backend APIs, and integrations serving high-volume transactions. Own features through design, development, testing, deployment, and production support. Shape platform architecture while improving performance, resilience, security, observability, monitoring, and cost efficiency. Champion clean code, automated testing, CI/CD, and engineering best practices across distributed enterprise systems.