Data Platform Leader - Snowflake & Azure

Gate Gourmet

Madrid

Presencial

EUR 90.000 - 130.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Gate Gourmet is seeking a Manager, Data Engineering to lead the design and operation of scalable data platforms in a modern cloud environment. You will oversee ELT/ETL pipelines and mentor a team of data engineers to deliver trusted data for analytics and machine learning.

Join a global organization delivering enterprise-scale data solutions, partnering with governance, analytics, and business stakeholders to align with enterprise data strategy.

Formación

  • 8–12 years of experience in data engineering, data platform development, or related roles.
  • 3–5 years of experience managing or leading data engineering teams.
  • Experience designing and operating enterprise-scale data platforms and pipelines.
  • Experience working in large or global enterprise environments is preferred.

Responsabilidades

  • Lead the design and evolution of the enterprise data platform architecture supporting analytics, reporting, and ML initiatives.
  • Oversee the development and operation of ELT/ETL pipelines ingesting data from multiple enterprise systems.
  • Mentor a team of data engineers and ensure timely delivery of high-quality data solutions.
  • Collaborate with data governance, IT, and business teams to enable advanced analytics and data-driven decisions.

Conocimientos

Snowflake
Azure
Leadership
Collaboration
Analytical thinking

Educación

Bachelor's degree in Computer Science or Information Systems
Master's degree is a plus

Herramientas

Snowflake
Azure Data Services

Descripción del empleo

Gate Gourmet is seeking a Manager, Data Engineering to lead the design and operation of scalable data platforms in a modern cloud environment. You will oversee ELT/ETL pipelines and mentor a team of data engineers to deliver trusted data for analytics and machine learning.

Join a global organization delivering enterprise-scale data solutions, partnering with governance, analytics, and business stakeholders to align with enterprise data strategy.

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