Data Analytics Engineer

Quadient; Madrid; On-site; EUR 52,000 - 76,000; Full time

Benefits offered by this job

Flexible Work

Learn platform access

Inclusive community

Total Rewards and referral scheme

Employee assistance program

Job summary

Quadient is hiring a Marketing Analytics Engineer to turn complex data into trusted insights. You’ll work at the intersection of data engineering, analytics and marketing, building models and pipelines for attribution, funnel analytics, and reporting.

You’ll manage DBT projects, optimize data flows, and translate business questions into meaningful metrics while collaborating with Marketing, IT and Martech teams.

Qualifications

• 3–5 years of experience in Analytics Engineering or a similar role.
• Hands-on with DBT including data modeling, 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 and different sales motions.
• Comfortable partnering with technical and non-technical stakeholders.

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 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.

Skills

SQL

DBT

Data modeling

Multi-touch attribution

Marketing analytics

Data pipelines

Tools

BigQuery

Git workflows

Job description

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.

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 youdon’tsatisfy 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 process. If you require any assistance with the application process, please email us at [e-mail]

Quadient is an Equal Employment Opportunity Employer. *: 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.

People. Connected.