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Data Engineer — Azure/Databricks & Snowflake | Remote

Eraneos Iberia

Madrid

Híbrido

EUR 40.000 - 60.000

Jornada completa

Hoy
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Descripción de la vacante

A leading consulting firm in Madrid is seeking a Data Engineer to design and maintain scalable data solutions. This role involves working with Azure and Databricks, developing data pipelines, and collaborating with teams to enhance data-driven decisions. The ideal candidate will have over 3 years of experience in data engineering, strong SQL and Python skills, and experience with ETL tools. This role offers a remote or hybrid work mode and a flexible schedule.

Servicios

Remote or hybrid mode
Udemy's path license
Cobee voucher for different topics
Flexible agenda
Internal
Multinational environment

Formación

  • 3+ years of experience in data engineering with Azure & Databricks.
  • Strong expertise in SQL for complex queries and optimization.
  • Advanced Python skills for building pipelines and data transformation scripts.
  • Experience with ETL/ELT tools and workflow orchestrators.
  • Solid knowledge of Lakehouse & Data Warehouse concepts.
  • Hands-on experience in cloud data integration & transformation.

Responsabilidades

  • Contribute to the analysis, design, development, and maintenance of data solutions.
  • Develop robust data pipelines using cloud platforms.
  • Collaborate with teams to implement strong data models for decision-making.

Conocimientos

Data engineering
Azure
Databricks
SQL
Python
ETL/ELT tools
Cloud data integration

Herramientas

Azure Data Factory
Airflow
Descripción del empleo
A leading consulting firm in Madrid is seeking a Data Engineer to design and maintain scalable data solutions. This role involves working with Azure and Databricks, developing data pipelines, and collaborating with teams to enhance data-driven decisions. The ideal candidate will have over 3 years of experience in data engineering, strong SQL and Python skills, and experience with ETL tools. This role offers a remote or hybrid work mode and a flexible schedule.
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