Hybrid Data Engineer – Digital Banking Cloud (Madrid)

Huxley; Madrid; Hybrid; EUR 40,000 - 65,000; Full time

Job summary

Huxley is seeking Data Engineers to join an international project rolling out a digital banking platform, focused on Germany and Italy. You will join a diverse data team developing data solutions in a modern cloud environment and collaborating with teams across borders.

Candidates must be based in Madrid or nearby and demonstrate English at B2 level or higher. The role is hybrid with 2 days on-site and 1 day for strong profiles.

Qualifications

• 3+ years as a Data Engineer.
• 2+ years with Python and PySpark.
• Experience with cloud environments, AWS preferred.
• Experience with Git and GitHub.
• Interest or experience in banking sector.
• English B2+ level required.
• Ability to work in international environments.

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.

Skills

Python

PySpark

AWS

Git/GitHub

English B2

International teams

Tools

GitHub

Job description

Huxley is seeking Data Engineers to join an international project rolling out a digital banking platform, focused on Germany and Italy. You will join a diverse data team developing data solutions in a modern cloud environment and collaborating with teams across borders.

Candidates must be based in Madrid or nearby and demonstrate English at B2 level or higher. The role is hybrid with 2 days on-site and 1 day for strong profiles.