Data Engineer (Contract): Airflow, AWS & Python

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

Descripción de la vacante

Square One Resources is seeking a Data Engineer for a 6-month contract in Madrid. The role focuses on building robust data pipelines using Python, Airflow and AWS, with a strong emphasis on data quality and reliability.

The candidate will design, implement and maintain scalable data workflows, collaborate with senior engineers, and ensure production pipelines meet performance and governance standards in a fast-paced environment.

Formación

• Minimum 3 years' experience in Data Engineering or related role.
• Strong hands-on Python development experience.
• Practical experience with AWS cloud technologies and services.
• Strong experience using Apache Airflow to develop and manage data workflows.
• Experience with production data pipelines and supporting operational environments.
• Demonstrable experience delivering or contributing to data quality projects.
• Strong troubleshooting and problem-solving skills.
• Understanding of data engineering principles, ETL/ELT processes and data pipeline architecture.
• Experience working with relational databases and SQL.
• Familiarity with Git and standard software development practices.

Responsabilidades

• Design, develop and maintain robust data pipelines.
• Develop data workflows with Apache Airflow.
• Build data solutions using Python.
• Utilize AWS cloud services for pipelines.
• Monitor performance and investigate issues.
• Provide day-to-day operational support.
• Implement data validation and quality checks.
• Follow testing, docs and version control practices.
• Collaborate with stakeholders on data requirements.
• Contribute to incident resolution and RCA.

Conocimientos

Python

SQL

Data Pipelines

GIT

Troubleshooting

Herramientas

Airflow

AWS

Descripción del empleo

Square One Resources is seeking a Data Engineer for a 6-month contract in Madrid. The role focuses on building robust data pipelines using Python, Airflow and AWS, with a strong emphasis on data quality and reliability.

The candidate will design, implement and maintain scalable data workflows, collaborate with senior engineers, and ensure production pipelines meet performance and governance standards in a fast-paced environment.