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

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📌 Data Engineer (Madrid)
🏢 Senovo IT
📍 Madrid