BI Engineer

Confirmed live in the last 24 hours

VML (Wunderman Thompson)

Luxembourg, Luxembourg District, Luxembourg

Hybrid

Posted March 16, 2026

Job Description

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

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

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 are looking for a Business Intelligence Engineer to join our Data Services team in Luxembourg.

In this role, you will work confidently with our cloud-native data spine (data lake and data warehouse) to independently access, combine, and transform data for the models, dashboards, and internal tools you build. You’ll focus on data modeling, transformation, visualization, and light web applications that make data easy to use for non-technical stakeholders. A key aspect of the role is leveraging AI-assisted development and workflow tools (e.g. ChatGPT, Claude, GitHub Copilot, Cursor, n8n, LangGraph) to automate repetitive work, accelerate delivery, and ship production-ready solutions faster—while still applying proper code review, testing, and debugging practices. You’ll collaborate closely with our Media and Content teams and work with advanced Amazon advertising data (AMC, DSP, retail signals) in a fast-paced, data-driven environment.

What you’ll be doing:

Data Access & Modeling

Access and query data from our cloud-based data lake and warehouse using SQL and BI tools.
Build and maintain clean, reusable data models (e.g. using dbt) on top of existing datasets to support dashboards, analyses, and internal tools.
Ensure consistency of business logic across clients and use cases through well documented transformations and mappings.

Data Transformation & Pipelines

Develop and maintain dbt models and other transformation layers within our existing data infrastructure.
Implement data quality checks and validation steps to ensure the reliability of outputs.
Contribute to improving performance and maintainability of existing transformations (refactoring, standardization, documentation).

Analytics & Dashboard Development

Design, build, and maintain Looker Studio dashboards (and similar BI tools) to track Amazon performance (AMC, DSP, Impression Share, retail KPIs, etc.).
Run post-campaign analyses, recurring perfo

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