AI & Data Engineer

• Design, develop, and maintain robust ETL pipelines to ensure secure, high-quality data ingestion, transformation, and availability across the data lifecycle;
• Collaborate with cross-functional teams (business, product, BI, architecture, and applications) to integrate data into existing systems seamlessly;
• Support the design and implementation of data architectures, including data lakes, data warehouses, and analytical data models tailored to organizational needs;
• Operationalize machine learning models and AI solutions, ensuring traceability, compliance (e.g., GDPR), and alignment with organizational strategies and data governance frameworks.

• Academic background in Information Systems or other similar area will be valued;
• Previous professional experience, at least 03 years of experience, in data engineering, Machine Learning or similar roles;
• Solid knowledge in technologies and tools like SQL, Python, PySpar, among others;
• Strong analytical skills, critical thinking and autonomy, as well as ability to work in multidisciplinary teams.

QiBit