Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources.
Support the data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable.
Build reusable technology that enables teams to ingest, store, transform, and serve their own data products.
Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.

Strong academic background in STEM disciplines;
Ability to break down problems, learn quickly, and test different approaches;
Programming foundations (language is not important. We value clean, maintainable code above all);
Curiosity for data and software — whether from coursework, projects, or personal initiatives;
Interest in building systems end-to-end: from ingesting and transforming data, to creating models, to deploying services;
Motivation and eagerness to learn from more experienced teammates.
Participation in hackathons, open-source contributions, or side projects;
Knowledge of Python
Experience with data pipelines or distributed data systems (e.g., Spark, Airflow).

Junior Data Engineer

Key skills