Senior Data Engineer (AI Data Platform)

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, develop, and maintain scalable data architectures, data models, and cloud-native data platforms.
• Build and optimize ETL and data ingestion pipelines following Medallion Architecture principles (Bronze, Silver, Gold).
• Develop and maintain data warehouse solutions using Snowflake and implement transformation workflows using dbt.
• Create and manage orchestration pipelines leveraging Dagster or similar workflow management technologies.
• Manage and optimize cloud-based data storage solutions, particularly within AWS environments.
• Design and maintain graph-based data structures and support entity matching pipelines where applicable.
• Collaborate closely with AI, Data Science, and Engineering teams to ensure reliable and efficient data consumption for AI applications.
• Provide technical leadership, promote best practices in data engineering, and contribute to continuous improvement initiatives within Agile teams.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience.
• Minimum of 5 years of experience in Data Engineering or similar roles.
• Strong expertise in designing scalable data architectures, data models, and modern data platforms.
• Hands-on experience with Snowflake, dbt, advanced SQL, and ETL pipeline development.
• Proven experience implementing Medallion Architecture and cloud-native data engineering practices.
• Experience with AWS services, particularly S3, and workflow orchestration tools such as Dagster.
• Practical experience with PostgreSQL and/or Supabase environments.
• Familiarity with graph databases and AI/ML concepts, including embeddings and AI-driven data workflows.
• Strong analytical, problem-solving, and communication skills, with experience working in collaborative software development environments.
• Upper-Intermediate to Advanced English proficiency (B2+/C1).

Benefits

• Fully remote opportunity based in Brazil.
• Exposure to innovative AI-driven projects and modern data engineering technologies.
• Collaborative, high-performance, and learning-oriented work environment.
• Opportunity to work alongside multidisciplinary teams across data, AI, cloud, and software engineering domains.
• Strong culture of technical ownership, transparency, and continuous professional growth.
• Participation in impactful projects that drive business transformation through data and artificial intelligence.
• Possibility of contract extension beyond the initial 6-month engagement period.