Data Analytics Engineer

Posted 12 Days Ago
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Madrid, Comunidad de Madrid, ESP
Hybrid
Mid level
Information Technology • Other
The Role
As a Data Analytics Engineer, you'll design data models and pipelines for analytics and reporting, ensuring data quality and collaborating with teams to define metrics and KPIs.
Summary Generated by Built In
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

Are you passionate about transforming raw data into trusted, business-ready insights?

Quadient is looking for a Data Analytics Engineer to join our Marketing Data & Operations team. In this role, you will design and build scalable data models and pipelines that power dashboards, analytics, and reporting across the organization.

You’ll work at the intersection of data engineering and analytics, helping teams turn complex data from multiple systems into reliable datasets that drive decision-making. The role also plays a key part in the migration of our legacy on-premise platform to a modern cloud data stack.

  • Design, build, and maintain analytics-ready data models that power dashboards, reports, and advanced analysis.

  • Develop and maintain dbt projects, ensuring high-quality data models, tests, and documentation.

  • Build and orchestrate data pipelines using Dagster or similar orchestration frameworks.

  • Implement data quality checks and monitoring to ensure accuracy and consistency.

  • Optimize pipelines and data models for performance, scalability, and cost efficiency.

  • Collaborate with Marketing, Operations, and Analytics teams to define metrics, KPIs, and reporting needs.

  • Maintain clear documentation of data models, metrics definitions, and pipeline logic.

  • Work closely with IT and data platform teams to align with governance, security, and engineering standards.

Qualifications

  • 3–5 years of experience as a Data Engineer, Analytics Engineer, or similar role.

  • Experience with Marketing data is a big plus.

  • Strong experience with dbt (data build tool) and analytics data modeling practices.

  • Solid understanding of analytical data modeling concepts (facts, dimensions, star/snowflake schemas).

  • Hands-on experience with modern cloud data warehouses such as Google BigQuery, Snowflake, or Redshift.

  • Experience orchestrating data pipelines using Dagster, Airflow, Prefect, or similar tools.

  • Strong SQL skills and familiarity with Git-based development workflows.

  • Ability to work cross-functionally with both technical and business stakeholders.

  • Professional English proficiency.

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 process. If you require any assistance with the application process, please email us at [email protected]  

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. 

Skills Required

  • 3-5 years of experience as a Data Engineer, Analytics Engineer, or similar role
  • Strong experience with dbt (data build tool) and analytics data modeling practices
  • Solid understanding of analytical data modeling concepts (facts, dimensions, star/snowflake schemas)
  • Hands-on experience with modern cloud data warehouses such as Google BigQuery, Snowflake, or Redshift
  • Experience orchestrating data pipelines using Dagster, Airflow, Prefect, or similar tools
  • Strong SQL skills and familiarity with Git-based development workflows
  • Ability to work cross-functionally with both technical and business stakeholders
  • Professional English proficiency
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The Company
England
5,001 Employees

What We Do

Quadient is the driving force behind the world’s most meaningful customer experiences. By focusing on three key solution areas, Intelligent Communication Automation, Parcel Locker Solutions and Mail-Related Solutions, Quadient helps simplify the connection between people and what matters. ​ Quadient supports hundreds of thousands of customers worldwide in their quest to create relevant, personalized connections and achieve customer experience excellence. ​ Because connections matter.

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