Data Engineer at Quadient

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Dagster, Airflow, Prefect, BigQuery, Snowflake, Redshift, Databricks, Data Modeling, ETL/ELT, APIs, Microservices, Machine Learning, Event-Driven Architectures, Kafka

Industry

Freight and Package Transportation

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 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., Dagster) 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 Qualifications 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 Understanding of event-driven architectures (e.g., Kafka, Pub/Sub) is a plus Strong analytical thinking and problem-solving skills Ability to work effectively in cross-functional, international teams Fluent in English 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 #LI-KC1 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.

Responsibilities

The Data Engineer will be responsible for designing, building, and evolving the next generation of the data platform, taking ownership of the end-to-end data lifecycle from ingestion to activation. This includes designing scalable data models, ensuring data quality, and building data services and APIs to support business decision-making.