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.