Data Engineer

Huxley; Madrid; Híbrido; EUR 42.000 - 62.000; Jornada completa

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

We are currently looking for 3 Data Engineers to join an international project focused on the rollout of a digital banking platform, with Germany and Italy as the current focus.

The selected candidates will become part of an international data team, working on the development and evolution of data solutions within a modern cloud environment. You will collaborate with multidisciplinary teams across different countries, contributing to the success of a large-scale banking transformation initiative.

Data Engineer - Digital Banking Platform

Key Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• Knowledge of Machine Learning and predictive models.
• Experience in data transformation projects.
• Experience interacting with business stakeholders.
• Strong communication skills.
• Proactive and collaborative mindset.

Conditions

• Openings: 3.
• Location: Madrid or nearby areas.
• Work model: Hybrid (2 days on-site, 1 day for strong profiles).
• Contract: Permanent (Indefinido) via Huxley.
• Start date: End of September at the latest.
• Selection process: Soft skills interview + technical interview.

Important Note

Please note that candidates must be based in Madrid or nearby areas and have at least a B2 level of English. Applications that do not meet these requirements will not be considered.