Company Description At Quadient, we support businesses of all sizes in their digital transformation and growth journey, unlocking operational efficiency with reliable, secure, and sustainable automation processes. It's these connections that make Quadient such an exceptional place to grow your career, develop your skills and make a real impact – help our future-focused business lead the way in powering secure and sustainable business connections through digital and physical channels.
We're looking for a Marketing Analytics Engineer who enjoys turning complex data into something people can actually trust and use.
Sitting at the intersection of data engineering, analytics and marketing, you'll build the models and pipelines that help our Marketing teams understand performance, customer journeys and the real impact of their investments. From multi-touch attribution and funnel analytics to scalable DBT models, you'll help create a reliable data foundation for smarter marketing decisions.
Design and build scalable marketing data models, covering multi-touch attribution,



digital and offline touchpoints, account-based marketing, funnel analytics and marketing impact.
Develop and manage DBT projects, from staging and intermediate models through to trusted, business-ready data marts.
Build and optimize data pipelines and models with a focus on performance, scalability and cost efficiency.
Help create a consistent and reliable view of marketing performance across complex B2B customer journeys.
Maintain strong standards around data quality, testing, documentation, lineage and governance.
Collaborate with IT and Martech teams to ensure our analytics ecosystem follows security, compliance and engineering best practices.
Around 3–5 years of experience in Analytics Engineering, Data Analytics Engineering or a similar role.
Strong hands‐on experience with DBT, including data modelling, testing, documentation, lineage and Git‐based development workflows.
Experience with modern cloud

📌 Data Engineer (Madrid)
🏢 Cv-Library
📍 Madrid