Staff Data Engineer: Architect Scalable Data Platforms

Dow Jones; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Amazon in Barcelona, Spain, is seeking a Data Engineer to design and operate scalable data pipelines and robust data models that power decision-making across a complex logistics network.

You will own curated datasets, monitor data quality in production, and partner with operations, finance, and science to translate business needs into reliable data solutions.

Formación

• Experience designing scalable data pipelines using cloud services.
• Proficient in building and evolving data models and schemas.
• Strong focus on data quality and reliability across production systems.

Responsabilidades

• Design, implement, and automate scalable data pipelines for multiple sources (Redshift, Glue).
• Evolve data models and schemas to ensure accuracy and a single source of truth.
• Own development and maintenance of curated reference datasets.
• Monitor and troubleshoot data quality issues and incidents in production.
• Lead architectural plans for future data storage and integration solutions.
• Collaborate with operations, finance, and science to translate requirements into data solutions.
• Investigate root causes of data defects to ensure data reliability.

Conocimientos

Data pipelines

Data modeling

Data quality

Data architecture

Stakeholder collaboration

Herramientas

Amazon Redshift

AWS Glue

Descripción del empleo

Description
Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact?
If this describes you, consider joining us. You will have the opportunity to work alongside the industry's brightest engineers, who innovate every day on behalf of our customers. You will have the opportunity to affect the evolution of Amazon technology, as well as lead mission-critical projects. Your work will contribute to solving some of the most complex technical challenges in the company.
In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development and expand your network.
Come chart your own path at Amazon.
Key job responsibilities
- Design, implement, and automate scalable data pipelines for collecting, transforming, and processing data from multiple sources (Redshift, Glue)
- Design and evolve data models and schemas ensuring accuracy, consistency, and alignment with single source of truth standards
- Own the development and maintenance of curated reference datasets and data assets to drive key business decisions
- Monitor and troubleshoot data quality issues and operational incidents in production pipelines
- Drive architectural plans and implementation for future data storage and integration solutions
- Collaborate with stakeholders across operations, finance, and science to translate business requirements into reliable data solutions
- Investigate and resolve root causes of data defects, ensuring data accuracy and reliability across the platform