Data Engineer: Databricks & Spark Pipelines (Madrid)

AXON Networks; Madrid; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Free parking/Pluxee transport pass

Pluxee restaurant pass

Private medical insurance (family)

Job summary

AXON Networks seeks a Data Engineer in Madrid to design and operate data pipelines using Databricks, PySpark, and SQL. You will build scalable ingestions, manage lakehouse datasets, and ensure data quality for downstream applications in a hybrid Madrid setup.

You will collaborate with Development, QA, DevOps, Product Management and Delivery teams, delivering reliable, testable data solutions and improving Spark job performance across the data platform.

Qualifications

• B.Sc./M.S. Computer Science or related field.
• 2+ years of professional Data Engineering experience.
• Hands-on Python, PySpark and SQL experience.
• Strong data modeling and lakehouse understanding.
• Familiarity with automated testing and Git-based workflows.
• Fluency in English and Spanish.
• Ability to work in hybrid in Madrid.

Responsibilities

• Develop and maintain scalable data ingestion and transformation pipelines using Databricks, PySpark and SQL.
• Build and maintain Databricks Jobs and Workflows for data ingestion and processing.
• Extend datasets across lakehouse layers with schema changes and data contracts.
• Ensure data quality and freshness for downstream consumers within processing windows.
• Develop and maintain automated tests for data pipelines (unit/integration/regression).
• Troubleshoot data pipeline issues in QA and production; identify root causes and fixes.
• Improve performance and efficiency of Spark jobs and data transformations.

Skills

Python

PySpark

SQL

Data Modeling

Automated Testing

Git Workflows

English/Spanish

Education

B.Sc./M.S. Computer Science

Tools

Databricks

Spark

Delta Lake

Medallion Architecture

Job description

AXON Networks seeks a Data Engineer in Madrid to design and operate data pipelines using Databricks, PySpark, and SQL. You will build scalable ingestions, manage lakehouse datasets, and ensure data quality for downstream applications in a hybrid Madrid setup.

You will collaborate with Development, QA, DevOps, Product Management and Delivery teams, delivering reliable, testable data solutions and improving Spark job performance across the data platform.