Data Engineer

AXON Networks

. Develop and maintain scalable data ingestion and transformation pipelines using Databricks, PySpark and SQL .

Posted 10/10/2026full-timeMadrid • SpainJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining scalable data ingestion and transformation pipelines using Databricks, PySpark, and SQL, while ensuring data quality and freshness. Proficient in troubleshooting data pipeline issues and optimizing performance in large-scale telecommunications data environments.

Highest-signal resume keywords

Data EngineeringDatabricksPySparkSQLETL/ELT Data Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationAutomated TestingData ModelingSchema EvolutionData ContractsWorkload OptimizationDelta LakeProblem-SolvingAnalytical Skills

Soft Skills

CollaborationTroubleshootingCommunication

Tools & Technologies

Databricks JobsGitApache Spark

Certifications & Qualifications

B.Sc./M.S. Computer Science

Industry Keywords

TelecommunicationsLakehouse ConceptsMedallion Architecture

Tech Stack

Tools & technologies

ApacheETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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
Build and evolve datasets across lakehouse layers, managing schema changes and data contracts while keeping data traceable to upstream sources
Ensure data quality and freshness, making datasets reliably available to downstream consumers within required processing windows
Develop and maintain automated tests for data pipelines, including unit, integration and regression testing
Troubleshoot data pipeline issues in QA and production, identify root causes and implement fixes
Improve the performance and efficiency of Spark jobs and data transformations
Collaborate with Development, Quality Assurance, DevOps, Product Management and Delivery teams throughout the software lifecycle
Work hands-on with large-scale telecommunications data in production data platforms

Requirements

What you’ll need

B.Sc./M.S. Computer Science or related field
2+ years of professional experience in Data Engineering or a similar role
Hands-on experience with Python, PySpark and SQL
Good understanding of data modeling and lakehouse concepts
Familiarity with automated testing and Git-based development workflows
Strong analytical and problem-solving skills, with the ability to troubleshoot data-processing issues
Fluency in both English and Spanish
Ability to work in hybrid in Madrid
Experience building ETL/ELT data pipelines with Apache Spark and Databricks
Experience with Delta Lake, Medallion Architecture, schema evolution or data contracts
Experience with Databricks Jobs / Workflows and workload optimization
Experience working with large-volume or telecommunications datasets
Only applications submitted in English will be reviewed or considered for this position

Benefits

Comp & perks

A competitive salary and incentive plan
Flexible schedule, including telecommuting
Free parking or transportation card (Pluxee transport pass)
Meal card (Pluxee restaurant pass)
Private medical insurance (for the whole family)
The opportunity of working in an international environment
PTO for birthday