Data Engineer

• 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.

• 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.