Data Engineer - Airflow, AWS & Python Pro

Square One Resources; Madrid; Presencial; EUR 41.000 - 47.000; Jornada completa

Descripción de la vacante

Square One Resources is seeking a Data Engineer to join the team in Madrid, working on data pipelines and production workflows. The role focuses on Airflow-based orchestration, Python development, and AWS data processing in a contract capacity.

The successful candidate will bring at least 3 years of data engineering experience, strong Python skills, and a solid understanding of data quality and pipeline reliability in a production environment.

Formación

• 3+ years' commercial experience in Data Engineering.
• Strong Python development skills.
• Hands-on AWS, Apache Airflow and Python.
• Experience with production data pipelines and data quality.
• Familiarity with SQL and relational databases.

Responsabilidades

• Design, develop and maintain scalable data pipelines.
• Develop workflows with Apache Airflow.
• Build data solutions using Python.
• Work with AWS cloud services to support data processing and storage.
• Monitor pipeline performance and troubleshoot issues.
• Provide operational support to the data engineering team.
• Contribute to data quality initiatives and data validation.
• Follow best practices around testing, version control and deployment.
• Collaborate with senior engineers and stakeholders.
• Participate in incident resolution and root-cause analysis.

Conocimientos

Python

AWS

Apache Airflow

SQL

Data pipelines

Data quality

Git

CI/CD

Terraform

Herramientas

Git

Terraform

CI/CD

Descripción del empleo

Square One Resources is seeking a Data Engineer to join the team in Madrid, working on data pipelines and production workflows. The role focuses on Airflow-based orchestration, Python development, and AWS data processing in a contract capacity.

The successful candidate will bring at least 3 years of data engineering experience, strong Python skills, and a solid understanding of data quality and pipeline reliability in a production environment.