Full Stack Developer

VML · Luxembourg, Luxembourg District, Luxembourg

  • Senior
  • Full-time
  • Posted 2026-03-11
  • Confirmed live on 25 September 2026

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Job description

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 Developer 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).

• 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:

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