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Full Stack Developer

VMLLuxembourg, Luxembourg District, LuxembourgPosted 3 Sept 2026

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About this role

Who We Are VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore.

VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. For more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML. 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: We’re looking for a Full Stack Develope r to join our Data Services team in Luxembourg. You will help build and scale internal and client-facing data products that support retail media and e-commerce operations , with a strong focus on automation, AI-enabled workflows, and pragmatic tool development. This role is hands-on and product-oriented: you will extend existing tools, ship new tools end-to-end , and work closely with Data Scientists, BI Engineers, and Data Delivery to ensure what we build is reliable, secure, and adopted by users.

What you’ll be doing: Build and evolve web applications : Add features to existing tools and develop new internal/client-facing tools from scratch (UI, backend services, and integrations). Develop data-centric services and APIs : Create robust backend services that connect to data warehouses/lakes, third-party APIs, and internal datasets to power decision workflows and reporting. Automation & reporting tooling : Build automation for reporting workflows (scheduling, configuration-driven pipelines, exports, alerts, and notifications).

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Content matching and enrichment tools: Implement systems that match/enrich content across catalogs and channels using rules + ML/AI where appropriate (deduping, similarity matching, classification). Web scraping utilities (where permitted): Design scraping/collection tools with strong engineering practices (rate limits, retries, monitoring), aligned with legal/compliance and platform terms. AI-assisted tools and integrations: Build AI chat tools connected to internal knowledge and systems using MCP (Model Context Protocol) servers and tool/function calling.

Implement AI features in existing dashboards and tools (explanations, insight summaries, anomaly narratives, guided exploration), with human-in-the-loop and quality safeguards. Cloud-native delivery: Develop and deploy on AWS and/or GCP (CI/CD, containers, secrets management, logging/monitoring). Quality, reliability, and security: Write tests, perform code reviews, apply secure coding practices, and ensure performance and maintainability in production.

What we want from you: 5+ years building production web applications as a full stack developer/software engineer (seniority flexible; we care about real shipped systems). Strong Java backend development experience (e.g., Spring Boot or similar), including API design and service architecture. Strong Python development experience (e.g., FastAPI/Flask, automation, integrations, data-heavy services). Experience with scraping frameworks (Playwright/Selenium/Scrapy) and building compliant, resilient collectors.

Full stack capability: working knowledge of modern front-end development (e.g., React/Vue/Angular, TypeScript/JavaScript, component-based UI). Experience building and operating cloud applications on AWS and/or GCP (compute, storage, IAM, networking basics). Practical experience with AI-assisted development workflows (e.g., Copilot/ChatGPT/Claude/Cursor), while maintaining strong engineering standards (reviews, testing, debugging).

Experience integrating with LLM/AI APIs and building safe product experiences (guardrails, prompt/versioning discipline, evaluation, fallbacks). Solid software engineering fundamentals: testing strategy, clean architecture, Git workflows, documentation, and observability. Strong communication and stakeholder management skills in a cross-functional team. If you know some of this, even better: Experience with MCP servers and tool-based AI agent architectures.

Experience embedding AI capabilities into analytics experiences (dashboards, guided insights, conversational exploration). Agentic automation/orchestration tooling such as n8n and/or LangGraph (or similar). Data platform integration experience (warehouse/lakehouse querying, semantic layers, role-based access). DevOps/tooling: Docker, Kubernetes, Terraform, GitHub Actions/GitLab CI, monitoring (CloudWatch/Stackdriver), structured logging.

Experience with authentication/authorization patterns (OAuth/OIDC, SSO), multi-tenant apps, and security reviews. What we can offer you: Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are. AT VML Enterprise Solutions Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms.

With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands. We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co.

We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business. As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world.

Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read

Source listing: greenhouse_wundermanthompson

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