Demand Marketing Manager, Data & Ai - Híbrido

Seidor; Madrid; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Flexible Work

Online Learning

Philanthropy program

Wellbeing support

Job summary

Quadient Spain is seeking a Marketing Analytics Engineer to transform complex data into trusted insights. You will bridge data engineering, analytics, and marketing to build models and pipelines that illuminate performance across multi-touch attribution, funnels, and ROI.

You will design marketing data models, manage DBT projects, and optimize data pipelines with a focus on scalability, cost efficiency, and governance.

Qualifications

• 3-5 years of experience in Analytics Engineering, Data Analytics Engineering or a similar role.
• Hands-on with DBT: modelling, testing, documentation, lineage, Git-based workflows.
• Experience with cloud data warehouses, ideally Google BigQuery, and strong SQL skills.
• Understanding of analytical data modelling: facts, dimensions, star/snowflake schemas, metrics layers.
• Experience working with marketing data: tracking, advertising platforms, attribution, campaign performance.
• Experience designing Multi-Touch Attribution (MTA) models and linking marketing investment to revenue, ROI and ROAS.
• Understanding complex B2B marketing journeys, sales motions and cycle lengths.
• Ability to collaborate with technical and non-technical stakeholders to translate needs into data solutions.

Responsibilities

• Design and build scalable marketing data models covering multi-touch attribution, funnels, and marketing impact.
• Develop and manage DBT projects from staging to trusted data marts.
• Build and optimize data pipelines with a focus on performance, scalability and cost efficiency.
• Partner with Marketing and Operations to translate business questions into meaningful metrics, KPIs and reporting solutions.
• 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 analytics ecosystem follows security and engineering best practices.

Skills

Analytics Engineering

DBT

BigQuery

SQL

Marketing data

MTA models

B2B marketing

Stakeholder management

Tools

Git

Job description

Hoy

**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. Our success in delivering innovation and business growth is inspired by the connections our diverse teams create every day, with our clients and each other. 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.
**Job Description**
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** .
+ Partner with Marketing and Operations teams to translate business questions into meaningful **metrics, KPIs and reporting solutions** .
+ 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.
**Qualifications**
+ 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.
+ Experience designing and optimizing **Multi‑Touch Attribution (MTA)** models and connecting marketing investment with revenue, ROI and ROAS.
+ Understanding of complex **B2B marketing journeys** , including different sales motions and sales‑cycle lengths.
+ Comfortable partnering with both technical and non‑technical stakeholders and translating business needs into robust data solutions.
Knowledge gaps can be filled. Even if you don't satisfy every single requirement or meet every qualification listed, we still want to hear from you.
**Additional Information**
**Rewards & Benefits**
+ **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.
+ **Inclusive Community:** Join our Empowered Communities and engage in our Philanthropy program.
+ **Comprehensive Rewards:** Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme.
+ **Caring for Wellbeing:** Access our complimentary employee assistance program for mental health support.
**Smart Work at Quadient**
At Quadient, our Smart Work approach fosters connection, collaboration, and innovation while offering flexibility based on role requirements. 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. No matter where you work, you'll be part of a dynamic, people‑first community that drives success together.
**Be yourself at Quadient**
Our values define how we work as a team: Empowerment, Passion, Inspiration and Community. They inspire us to be EPIC. Together. What makes Quadient different is how different we are. We're a team of individuals with one goal but many perspectives. When you connect with Quadient, you become part of a community that cares - in a culture that embraces differences and values every voice.
We will consider any reasonable modifications to the interview