We are seeking a motivated and detail-oriented Data Management / Data Engineering Profile (Intern or Junior Professional) to support the management and transformation of heterogeneous data flows. The role focuses on handling data coming from multiple sources and formats, designing automation tools for data processing, and ensuring high-quality data ingestion into a SQL-based application.
This position is ideal for candidates with a strong interest in ETL processes, data automation, and applied AI, who are eager to grow in a technically rich and evolving environment. Exposure to environmental data is considered a valuable plus.
Manage and integrate data from multiple heterogeneous sources and formats (e.g., structured, semi-structured, manual inputs).
Design and implement ETL workflows to automate data extraction, transformation, and loading processes where possible.
Develop and maintain automation tools and scripts to improve data reliability, efficiency, and scalability.
Perform manual data entry and data validation activities when automation is not feasible, ensuring data accuracy and consistency.
Load, maintain, and update datasets within an application backed by a SQL database, ensuring adherence to data quality standards.
Support data monitoring, troubleshooting, and continuous improvement of data pipelines.
Collaborate with technical and business stakeholders to understand data requirements and propose improvements.
Contribute to exploratory activities related to AI-driven data processing, data enrichment, or intelligent automation use cases.