Data Engineer (Dataiku) (Hibrido - Lisboa)

We are looking for a Mid-Level Data Engineer (Dataiku) to join our data team and support the transformation of raw data into reliable, high-quality, analytics-ready datasets.

The role focuses on data preparation, data transformation, analytics engineering, and data enablement, with the opportunity to contribute to advanced analytics, data science, and Generative AI initiatives using Dataiku.

The consultant will collaborate closely with Data Engineers, Data Analysts, Data Scientists, and business stakeholders to design efficient data workflows, ensure data quality, and deliver trusted datasets to support business decision-making.

Principais Responsabilidades

• Design, develop, and maintain data preparation workflows using Dataiku.
• Build and optimize datasets for analytics, reporting, and machine learning use cases.
• Perform data cleansing, transformation, enrichment, and feature engineering using Dataiku visual recipes and code-based workflows.
• Develop and maintain data pipelines and analytical data assets.
• Collaborate with Data Engineers to ensure data reliability, scalability, and quality.
• Support exploratory data analysis and data science workflows within Dataiku.
• Contribute to Generative AI initiatives, including LLM-based analytics and AI-assisted insights.
• Ensure data quality, consistency, and usability across analytical solutions.
• Support documentation, best practices, and knowledge sharing within the data team.
• Develop and maintain Power BI dashboards and reports when required.

Requisitos mínimos

• 3–6 years of experience in Data Engineering, Analytics, or BI roles.
• Hands-on experience with Dataiku for data preparation, transformation, and analytics workflows.
• Strong knowledge of SQL and/or Python, data modelling, and data quality principles.
• Experience with Power BI (data modelling, DAX, dashboards) is a plus.
• Understanding of data science fundamentals and analytics workflows.
• Exposure to machine learning, Generative AI/LLM use cases, or cloud data platforms is an advantage.
• Fluent in English (written and spoken).