Data Engineer

TL;DR

Data Engineer: Designing, building, and evolving the next generation of a data platform with an accent on end-to-end data lifecycle management, scalability, and integration. Focus on developing modern cloud-based data architecture, implementing real-time data services, and integrating AI-enabled workflows into production pipelines.

Location: Must be based in or able to work from Barcelona, Spain

Company

A global provider of digital transformation and business automation solutions focusing on secure and sustainable connections through digital and physical channels.

What you will do

• Design, implement, and maintain event-based and batch data pipelines using modern orchestration tools.
• Develop and manage rETL transformation workflows to integrate data with external systems like CRM and CDP.
• Own and evolve the end-to-end data architecture, covering ingestion, transformation, and storage.
• Design scalable data models while ensuring data quality, governance, and performance.
• Build internal APIs and data products for real-time and programmatic data access.
• Integrate machine learning models into production data workflows.

Requirements

• Proven experience as a Data Engineer managing data pipelines and architecture.
• Strong proficiency in Python and SQL.
• Hands-on experience with modern cloud data platforms such as BigQuery, Snowflake, or Databricks.
• Experience with orchestration tools like Dagster, Airflow, or Prefect.
• Fluent in English.
• Ability to work effectively in cross-functional, international teams.

Nice to have

• Understanding of event-driven architectures (e.g., Kafka, Pub/Sub).

Culture & Benefits

• Opportunities for professional growth and career development in a diverse, international environment.
• Exposure to modern cloud-based data architecture and AI technologies.
• Collaborative environment involving product, engineering, and business teams.