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

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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. xugodme The adecuado candidate combines solid technical fundamentals with a practical, problem-solving mindset and strong communication skills.

📌 Data Engineer (Madrid)
🏢 Senovo IT
📍 Madrid