Senior Data Engineer (Brazil focus)

About the role

We are looking for a Senior Data Engineer who will design, build, and optimise data pipelines that go beyond the standard ETL processes. The role focuses on leveraging AI and prompt engineering to maximise efficiency and is intended for candidates based in Brazil.

Key responsibilities

• Design, implement and maintain reliable, scalable data pipelines that ensure data quality, integrity and availability for analytics and business teams.
• Optimise data processing, storage and usage to reduce execution times and costs (FinOps) while maximising the value of information.
• Apply data‑governance policies, including standards for naming, cataloguing and maturity, to guarantee traceability and order.
• Ensure compliance with security and regulatory requirements, protecting data and adhering to industry standards.
• Monitor, troubleshoot and evolve pipelines and related systems to keep them resilient and adaptable to new business needs.
• Democratise data access across the organisation, enabling cross‑functional exploitation.

Required profile

• Experienced in building end‑to‑end data workflows and comfortable with AI‑driven process optimisation.
• Based in Brazil or eligible to work remotely for a Brazil‑focused team.
• Strong analytical mindset with a focus on cost‑effective data solutions.

Required skills

• SQL
• Python
• Google Cloud Platform (GCP) – especially BigQuery and Cloud Storage
• API consumption and integration
• Basic CI/CD using GitHub Actions or Cloud Build
• Knowledge of Medallion Architecture (Bronze/Silver/Gold) – desirable
• BigQuery query and cost optimisation – desirable