Hybrid Data Engineer for Real-Time AI Pipelines

Quadient; Barcelona; Hybrid; EUR 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Flexible Work: Hybrid model

Online learning platform

Inclusive community programs

Competitive Total Rewards

Employee assistance program

Zusammenfassung

Quadient is seeking a Data Engineer to design, build, and evolve our next‑gen data platform. You will own the end-to-end data lifecycle, from ingestion to activation, ensuring reliability, scalability, and decision-support for the business.

You will work with cross-functional teams to translate needs into robust data solutions, contributing to modern cloud-based data architecture and real-time data services, including AI-enabled workflows.

Qualifikationen

• Proven experience as a Data Engineer or similar, ownership of data pipelines and architecture.
• Strong proficiency in Python and SQL.
• Experience with orchestration tools (Dagster, Airflow, Prefect).

Aufgaben

• Design, implement, and maintain data pipelines (event-based and batch) using modern orchestration tools.
• Develop and manage data transformation workflows to integrate data with 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 for real-time data access.
• Integrate ML 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 deliver data-driven solutions.

Kenntnisse

Python

SQL

Dagster

Airflow

Databricks

APIs for data access

Cross-functional collaboration

Tools

BigQuery

Snowflake

Redshift

Databricks

Jobbeschreibung

Quadient is seeking a Data Engineer to design, build, and evolve our next‑gen data platform. You will own the end-to-end data lifecycle, from ingestion to activation, ensuring reliability, scalability, and decision-support for the business.

You will work with cross-functional teams to translate needs into robust data solutions, contributing to modern cloud-based data architecture and real-time data services, including AI-enabled workflows.