Data platform engineer

Perfil buscado (Hombre/Mujer)


● Working closely with DSP (Demand-Side Platform), ML, and DMP (Data Management

Platform) teams to integrate and curate data effectively into our Data Lake.

● Collaborating across teams to build and improve data tools, ensuring our data architecture

supports real-time insights and analytics.

● Owning data quality and reliability, ensuring service level agreements (SLAs) are met.

● Contributing to code reviews, architectural discussions, and the continuous improvement of

our Data Platform.

● Mentoring junior team members and contributing to best engineering practices.
• American company|Remote work

A successful Data Platform Engineer should have:

● Bachelor´s degree in Computer Science, Engineering, or a related field.

● 3+ years of experience in data engineering, with a focus on data quality and infrastructure.

● Proficiency in a range of data engineering technologies (e.g., Python, SQL, Data Lake,

Warehouse, Kafka, AWS, Airflow).

● Strong problem-solving skills and the ability to work collaboratively.

● Proficiency in developing and optimizing data pipelines, with a strong understanding of both batch processing and real-time streaming technologies.

● Familiarity with AWS services and DevOps practices, including CI/CD and automation.

● Knowledge of data ingestion, software engineering, and security best practices.

● Familiarity with Apache Iceberg or similar table formats and data management technologies

is a plus.

● Occasional tript to the offices located in Zaragoza.


The hiring company is a significant player in the Technology & Telecoms sector, with a large workforce that spans across several international locations.


Oportunidades de carrera y desarrollo profesional.