Ranking: 42
Design, develop, and maintain data pipelines and ETL processes.
Work with large datasets to support AI and advanced analytics use cases.
Participate in the development of new AI agents within the AI Factory.
Support data preparation, feature engineering, and model integration tasks.
Collaborate with data engineers, ML engineers, and product teams.
Ensure data quality, reliability, and scalability across platforms.
Work in a hybrid model, attending client offices in Madrid every 1–2 weeks.
2+ years of experience as a Data Scientist or in a similar data-focused role.
Strong programming skills in Python.
Experience building and maintaining data pipelines and ETL workflows.
Hands-on experience with AWS (data and analytics services).
Understanding of data engineering concepts and workflows.
Basic knowledge of Machine Learning engineering concepts is highly valued.
Experience working in AI Factory or innovation lab environments.
Exposure to ML model deployment or AI agents.
Familiarity with cloud-native data architectures.
Experience collaborating in multidisciplinary teams.
Design, develop, and maintain data pipelines and ETL processes.
Work with large datasets to support AI and advanced analytics use cases.
Participate in the development of new AI agents within the AI Factory.
Support data preparation, feature engineering, and model integration tasks.
Collaborate with data engineers, ML engineers, and product teams.
Ensure data quality, reliability, and scalability across platforms.
Work in a hybrid model, attending client offices in Madrid every 1–2 weeks.
2+ years of experience as a Data Scientist or in a similar data-focused role.
Strong programming skills in Python.
Experience building and maintaining data pipelines and ETL workflows.
Hands-on experience with AWS (data and analytics services).
Understanding of data engineering concepts and workflows.
Basic knowledge of Machine Learning engineering concepts is highly valued.
Experience working in AI Factory or innovation lab environments.
Exposure to ML model deployment or AI agents.
Familiarity with cloud-native data architectures.
Experience collaborating in multidisciplinary teams.
