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.
We are looking for a Data Engineer to design, build, and evolve the next generation of our data platform. In this role, you will take ownership of the end-to-end data lifecycle , from ingestion to activation, ensuring data is reliable, scalable, and ready to support business decision-making across the organization.
You will work closely with cross-functional teams to translate business needs into robust data solutions and contribute to the development of modern, cloud-based data architecture, including real-time data services and AI-enabled workflows.
Design, implement, and maintain data pipelines (event-based and batch) using modern orchestration tools (e.g., Develop and manage data transformation workflows (rETL) to integrate data with third-party systems such as CRM, CDP, and marketing platforms
Own and evolve the data architecture, covering ingestion, transformation, storage, and data serving layers
Design scalable data models and ensure data quality, governance, and performance optimization
Build data services, APIs, and internal data products to enable real-time and programmatic data access




Integrate machine learning models and AI capabilities into data pipelines and workflows
Ensure reliability through monitoring, observability, and continuous improvement of data processes
Collaborate with product, engineering, and business teams to define and deliver data-driven solutions
Proven experience as a Data Engineer or in a similar role, with strong ownership of data pipelines and architecture
Strong proficiency in Python and SQL
Experience with orchestration tools such as Dagster, Airflow, or Prefect
Hands-on experience with modern cloud data platforms (e.g., BigQuery, Snowflake, Redshift, Databricks)
Experience with data modeling, data quality frameworks, and ETL/ELT processes
Familiarity with building APIs or microservices for data access
Experience integrating machine learning models into production environments
Kafka, Pub/Sub) is a plus
Fluent in English
Adaptable 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.

📌 Ingegnere Dei Dati (Barcelona)
🏢 Talent
📍 Barcelona