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.

Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.
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: Permanen

📌 Data Engineer (Madrid)
🏢 Huxley
📍 Madrid