Work Model: Hybrid - 2 days per week in the office 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. The idóneo candidate combines solid technical fundamentals with a practical, problem-solving mindset and strong communication skills.
#J-18808-Ljbffr

📌 Senior Engineer, Data Engineering (Madrid)
🏢 Senovo IT
📍 Madrid