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Leads a data science team to build AI-driven customer personalization and analytics for a UK retail brand, translating data into actionable insights for marketing and commercial strategy.
Lead hands-on data engineering for clients in retail, media, and finance, building cloud pipelines and models on Azure, Databricks, and Fabric to power AI solutions and analytics.
Builds and maintains full-stack features for an AI-driven commerce platform, working with product and design to deliver high-performance features and deploy to AWS.
Build a new AI-powered consumer shopping platform from scratch, designing full-stack features and mobile-first experiences with generative AI tooling in a small, high-trust team.
Senior Backend Engineer to design and implement features for an enterprise order management platform handling checkout to delivery and returns.
Build and maintain full-stack web apps for IKEA’s UK digital services using Node.js, TypeScript, Python, React, Azure SQL and Prisma, collaborating in an Agile team.
Test and validate data pipelines and warehouses for a large NZ grocery retailer, ensuring accuracy and reliability of mission-critical retail data.
Build and maintain full-stack web apps for a supermarket chain’s digital retail platform using React and Next.js.
Build and maintain Liquorland’s web apps using React/Next.js, REST APIs, and Azure integrations to improve retail operations and customer experience.
Build and maintain high-volume ecommerce features using .NET, AWS, and modern front-end frameworks while ensuring scalability, security, and test coverage.
Senior PHP developer building and shipping e-commerce features, internal tools, and scalable backend systems in a collaborative KL team.
Full-Stack Engineer building SEO and AI-ready infrastructure for an automotive aftermarket e-commerce platform in Malaysia.
Builds web and mobile apps for a retail field-force platform, adding AI agents, RAG pipelines, and vector search to automate workflows.
Build and maintain data pipelines and automate ETL workflows on Snowflake and dbt to migrate customers to a new platform while ensuring reliable data flow for analytics and AI readiness.
Build and refine a modern data platform (Snowflake, GCP, dbt) to migrate legacy retail pricing analytics to a scalable medallion architecture while keeping the old system running.
Principal Data Engineer defines and drives the technical vision for Very’s data platforms, building scalable, resilient solutions while coaching engineers and shaping best practices across teams.
Senior Full-Stack Engineer building secure, scalable retail systems on Azure, owning APIs, microservices, and integrations with POS, payments, and ERP.
Build and maintain full-stack features for enterprise ecommerce platforms using Angular, TypeScript, and Azure SQL, while leading CI/CD and mentoring engineers.
Builds and scales an AI-driven product-information platform for e-commerce using Next.js, GraphQL, Go, Postgres and AWS, while mentoring engineers.
Build and scale AI-driven product catalog systems using Next, GraphQL, Go, Postgres, and AWS, while automating enrichment and classification workflows for e-commerce brands.
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