Global Data Engineer - Cloud Banking Platform

Huxley

Madrid

Híbrido

EUR 42.000 - 62.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Huxley in Madrid seeks 3 Data Engineers for an international project focused on rolling out a digital banking platform. You will join a global data team, building data solutions in a modern cloud environment and collaborating with teams across Germany and Italy.

The role focuses on developing data pipelines, using Python and PySpark, and evolving cloud-based platforms while aligning with business and technical stakeholders. This is a permanent hybrid position with end-September start.

Formación

  • 2-4 years of experience as a Data Engineer.
  • 1-2 years of experience with Python and PySpark.
  • Experience working in cloud environments (AWS preferred).
  • Experience with Git and GitHub.
  • Interest or previous experience in the banking sector.
  • English level B2 or above (mandatory).
  • Ability to work in international environments.

Responsabilidades

  • Develop and maintain data pipelines and transformation processes.
  • Work with Python and PySpark to process and optimize large volumes of data.
  • Support the evolution of cloud-based data platforms.
  • Collaborate with international teams across Germany and Italy.
  • Participate in data transformation and integration initiatives.
  • Contribute to code versioning, deployment, and development best practices using Git and GitHub.
  • Work closely with technical and business stakeholders to understand requirements and deliver data solutions.

Conocimientos

Data engineering
Python
PySpark
Cloud (AWS)
Git & GitHub
International collaboration

Herramientas

GitHub
AWS

Descripción del empleo

Huxley in Madrid seeks 3 Data Engineers for an international project focused on rolling out a digital banking platform. You will join a global data team, building data solutions in a modern cloud environment and collaborating with teams across Germany and Italy.

The role focuses on developing data pipelines, using Python and PySpark, and evolving cloud-based platforms while aligning with business and technical stakeholders. This is a permanent hybrid position with end-September start.

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