Teams at Marks and Spencer

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.

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.