This job is with Quadient, an inclusive employer and a member of myGwork – the largest integral platform for the LGBTQ+ business community.

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 warehouses, ideally Google BigQuery , and strong SQL skills. Good understanding of analytical data modelling concepts such as facts, dimensions, star/snowflake schemas and metrics layers .

Experience working with marketing data , including tracking, advertising platforms, attribution and campaign performance. Comfortable partnering with both technical and non-technical stakeholders and translating business needs into robust data solutions.

Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle.

Endless Learning: Access global opportunities for growth through our 24/7 online learning platform. Whether on-site, hybrid, or remote, our work environments are designed to support productivity and engagement. Hybrid employees balance remote and in-office work, on-site roles contribute daily to our vibrant workplace culture, and remote employees stay connected through virtual collaboration and in-person events.

We firmly believe in zero discrimination in employment on any basis, including race, color, religion, sex, national origin, age, disability, veteran or military status, genetic information, citizenship status, and any other characteristics protected by local, state, or federal law.

📌 Data Engineer Consulting (Madrid)
🏢 Quadient
📍 Madrid