Marketing Analytics Engineer

About the role

Quadient is looking for a Marketing Analytics Engineer in Madrid, sitting at the intersection of data engineering, analytics and marketing. You will build the models and pipelines that help Marketing teams understand performance, customer journeys and the impact of their investments, from multi-touch attribution and funnel analytics to scalable DBT models.

Key responsibilities

• 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 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 turn business questions into metrics, KPIs and reporting solutions.
• Create a consistent view of marketing performance across complex B2B customer journeys.
• Maintain standards for data quality, testing, documentation, lineage and governance.
• Work with IT and Martech teams so the analytics ecosystem follows security, compliance and engineering best practices.

Required profile

• Around 3-5 years of experience in Analytics Engineering, Data Analytics Engineering or a similar role.
• Experience with marketing data, including tracking, advertising platforms, attribution and campaign performance.
• Experience designing and optimizing Multi-Touch Attribution (MTA) models and linking marketing investment with revenue, ROI and ROAS.
• Understanding of complex B2B marketing journeys, including different sales motions and sales-cycle lengths.
• Comfortable partnering with technical and non-technical stakeholders.

Required skills

• Strong hands-on DBT experience, including data modelling, testing, documentation, lineage and Git-based workflows.
• Modern cloud data warehouses, ideally Google BigQuery, and strong SQL.
• Analytical data modelling concepts such as facts, dimensions, star/snowflake schemas and metrics layers.

What we offer

• Hybrid work model combining office and remote work.
• Global learning opportunities through a 24/7 online learning platform.
• Empowered Communities and a philanthropy program.
• Total rewards covering wellness and work/life balance, including a referral scheme.
• Employee assistance program for mental health support.