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Senior Data Engineering Software Engineer - Remote-First

Ring Inc

A distancia

EUR 50.000 - 70.000

Jornada completa

Hace 3 días
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Descripción de la vacante

A leading technology company in Spain is seeking a talented Software Engineer – Data Engineering to shape and scale its next-generation data platform. The ideal candidate will have over 7 years of experience in data engineering, with advanced skills in Python and SQL, and a strong background in building high-performance data systems. This role involves collaboration with cross-functional teams to ensure data quality and operational excellence in a remote-first environment with a focus on innovation and professional growth.

Servicios

Competitive salary with equity
Comprehensive health benefits
Flexible remote-first working environment
Unlimited vacation policy
Accelerated professional growth opportunities

Formación

  • Minimum 7 years of experience in data or software engineering.
  • Advanced skills in Python and SQL required.
  • Experience with cloud and data warehousing platforms is preferable.

Responsabilidades

  • Design and maintain scalable data pipelines using Python and SQL.
  • Optimize data models for AI and analytics workflows.
  • Collaborate across teams to deliver robust data products.

Conocimientos

Python
SQL
Data quality attention
Analytical skills
ETL/ELT pipelines
Distributed systems knowledge
Mentoring

Educación

Bachelor’s degree in Computer Science or related field
Graduate degrees (a plus)

Herramientas

Data warehousing platforms (Databricks, AWS)
Orchestration frameworks (Airflow, Kafka, etc.)
Relational and NoSQL databases
Descripción del empleo
A leading technology company in Spain is seeking a talented Software Engineer – Data Engineering to shape and scale its next-generation data platform. The ideal candidate will have over 7 years of experience in data engineering, with advanced skills in Python and SQL, and a strong background in building high-performance data systems. This role involves collaboration with cross-functional teams to ensure data quality and operational excellence in a remote-first environment with a focus on innovation and professional growth.
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