Full Stack Developer

Who We Are: VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. About WPP VML Luxembourg: VML Luxembourg is one of the leading Amazon consulting agencies in Europe. Offering 360° services for Amazon, we have a diverse range of products and services in various sectors to ensure long-term sales growth, ranging from creating multilingual content and listings to all aspects of advertising, including sales promotion, PPC and programmatic campaigns. We are part of WPP, the world's largest digital media agency, and manage WPP's European Center of Excellence for Amazon (ACE) dedicated to maximising performance, driving sales and building brands on the Amazon platform. The opportunity: A core part of this role will be maintaining and enhancing tools for data scraping and collection, including the use of scripts, APIs, proxies, personas, and automation workflows. You will also work with AI-assisted coding tools to accelerate development, improve debugging, and help productionize solutions in a reliable and scalable way. This is a hands-on, product-oriented role: you will extend existing tools, build new ones end-to-end, and work closely with Data Scientists, BI Engineers, and Data Delivery to ensure what we build is secure, maintainable, and genuinely useful. What you'll be doing:
- Develop, improve, and support internal and client-facing tools, with Python as the primary development language. Own scraping and data collection tooling:
- Maintain and enhance tools for scraping and collecting data using scripts, APIs, proxies, personas, browser automation, and related methods, always aligned with legal, compliance, and platform requirements.
- Debug and productionize tools: Take prototypes and operational scripts into production by improving code quality, reliability, observability, scalability, and deployment processes. Develop backend services and APIs:
- Build robust services and integrations that connect to internal datasets, third-party platforms, data warehouses/lakes, and reporting systems. Work with AWS-based infrastructure: Support automation and reporting workflows:
- Build and maintain scheduled jobs, configuration-driven pipelines, exports, alerts, and notification systems that improve operational efficiency. Use AI-assisted development effectively:
- Leverage AI coding assistants to accelerate development, troubleshoot issues, improve code quality, and support debugging — while maintaining strong engineering standards and human oversight. Contribute to full stack development where needed:
- Support UI development for internal tools and dashboards, working across frontend and backend components when required. Collaborate across teams:
- Partner with Data Science, BI Engineering, and Data Delivery teams to translate business needs into practical, scalable tools. Ensure quality, reliability, and security: What we want from you:
- Working knowledge of Java for maintaining or contributing to existing services where needed, but this is not the primary focus of the role.
- Experience with web scraping and browser automation toolssuch as Playwright, Selenium, Scrapy, or similar frameworks.
- Experience building and maintaining operational data tools, especially those involving APIs, scripts, proxies, session handling, personas, and data collection workflows.
- Experience productionizing tools and automations, including improving resilience, monitoring, logging, error handling, and deployment processes.
- Practical experience with AI-assisted coding tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar, with the ability to use them effectively for development and debugging.
- Full stack capability, with some experience in frontend technologies such as JavaScript/TypeScript and frameworks like React, Vue, or Angular.
- Solid software engineering fundamentals, including testing, version control, documentation, code reviews, and maintainable architecture.
- Strong communication and collaboration skillsin a cross-fu