Work Model: Hybrid - 2 days per week in the office

Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura.

Contract: 9 months+

Languages: Spanish and English

About the Role

We are looking for a Junior/Medior Data Engineer to join an international data engineering team based in Madrid.

The role will focus on supporting the development, maintenance, monitoring, and day-to-day operation of data pipelines and data processing workflows.

You will work closely with senior Data Engineers, contributing to the reliability, quality, performance, and continuous improvement of the data platform.

This is a hands-on position, ideally suited to someone with 2-4 years of professional experience in Data Engineering and practical experience with Python, AWS, SQL, and data pipeline orchestration technologies.

Key Responsibilities

- Develop, maintain, and improve data pipelines and ETL/ELT processes.
- Use Python for data processing, automation, and pipeline development.
- Support the orchestration and monitoring of workflows using Apache Airflow or similar tools.
- Work with AWS data services and cloud-based data platforms.
- Monitor existing pipelines and help investigate and resolve operational issues.
- Implement and maintain data quality checks and validation processes.
- Identify and resolve data inconsistencies, pipeline failures, and data processing issues.
- Support senior Data Engineers in developing and optimizing data workflows.
- Contribute to improving the reliability, performance, and maintainability of existing pipelines.
- Follow established practices for development, testing, version control, and deployment.




- Collaborate within an international Data Engineering team using Agile methodologies.
- Document technical processes and data workflows when required.
- 2-4 years of professional experience in Data Engineering or a closely related role.
- Strong practical experience with Python.
- Hands-on experience with AWS and AWS-based data environments.
- Experience with Apache Airflow or a similar data orchestration tool.
- Good understanding of ETL/ELT processes and data pipelines.
- Experience working with SQL and relational or cloud databases.
- Experience with data quality, validation, and data consistency checks.
- Ability to troubleshoot and resolve technical issues within data pipelines.
- Good understanding of software development fundamentals, including Git/version control.
- Good communication skills in both English and Spanish.
- Ability and willingness to work in a hybrid model from Madrid, 2 days per week in the office.

Desirable / Nice to Have

- Experience with Apache Spark / PySpark.
- Experience with AWS data services such as AWS Glue, S3, Lambda, Redshift, or similar.
- Knowledge of Docker / ECS.
- Experience with dbt.
- Familiarity with Databricks.
- Knowledge of Kafka or other data streaming technologies.
- Experience with data governance or advanced data quality frameworks.
- Familiarity with Agile / Scrum methodologies.
- Experience working with large-scale or international data environments.

What We're Looking For

A hands-on Data Engineer who is comfortable working with existing data pipelines, troubleshooting issues, improving processes, and collaborating with more senior engineers. xhfqzwm The adecuado candidate combines solid technical fundamentals with a practical, problem-solving mindset and strong communication skills.

📌 Data Engineer (Madrid)
🏢 Senovo IT
📍 Madrid