Your contribution to something big:

Facilitate and moderate agile ceremonies, including daily meetings, sprint reviews and retrospectives, ensuring effective team collaboration;
Contribute to the development and maintenance of data pipelines, ensuring data quality, reliability, and availability;
Support the design and optimization of data models to enable efficient analysis, reporting, and AI-driven use cases;
Explore and evaluate new cloud technologies and digital solutions, contributing to the continuous improvement of the team's tools and processes.

What distinguishes you:

Master's degree or PhD student in Computer Science, Data Engineering, Software Engineering, Information Systems or a related field;
Previous academic or project experience in data engineering, cloud technologies or software development is a plus;
Knowledge of Python, SQL, Spark and data modelling; familiarity with Databricks, Azure Synapse, Azure Data Factory, Azure Purview or similar technologies;
Fluent in English and comfortable working in an international environment;
Understanding of agile methodologies and an interest in applying DevOps principles in a collaborative development environment;
Strong communication skills, proactive mindset and eagerness to learn new technologies and AI solutions.