• Design, build, and maintain data pipelines supporting Refinery89’s core data platform. • Contribute to the design and evolution of the company’s data architecture and tooling. • Implement reliable ingestion, transformation, and storage processes for structured and semi-structured data. • Ensure data reliability, consistency, and basic data quality controls across systems. • Collaborate with engineers and internal stakeholders to support analytics and operational use cases. • Maintain clear, consistent technical documentation for data systems and workflows.

• Design, develop, and maintain robust, scalable data pipelines, ensuring integrity, performance, and availability • Work on ingestion, transformation, and integration of data from multiple internal and external sources • Actively contribute to the evolution of the data architecture, applying modern architecture principles (Lakehouse, data layering, distributed processing) • Build data infrastructure that supports growth, new products, and analytical demands with security and governance • Support analytical data modeling, ensuring technical structures correctly support business metrics and KPIs • Collaborate with Analytics Engineers and Data Analysts to enable consistent, reusable, and high-performance models • Ensure that data delivered for analytical consumption maintains quality standards and traceability • Implement and evolve pipeline monitoring and automated data validations, performing troubleshooting when necessary • Adopt best practices for data testing, versioning, and technical documentation • Act as a technical lead, supporting team development and the adoption of engineering standards

• Coordenar o time de Engenharia de Dados, garantindo alinhamento, priorização e entrega contínua • Atuar como referência técnica, apoiando decisões de arquitetura, padrões e boas práticas • Desenvolver o time por meio de feedbacks, acompanhamento técnico e apoio à evolução de carreira • Organizar backlog técnico, rituais de acompanhamento e alinhamento com o Head de Dados • Liderar a implementação e evolução de arquiteturas modernas de dados, garantindo escalabilidade, performance e governança • Definir e manter padrões de engenharia para ingestão, transformação, versionamento e publicação de dados • Garantir a integração eficiente de dados provenientes de múltiplas fontes internas e externas • Apoiar a construção e disseminação da cultura de engenharia e dados na Sólides

• Design, build, and maintain data pipelines using SQL, Python, dbt and Databricks. • Conduct regular data quality checks to ensure accuracy and integrity for downstream users. • Proactively identify data issues and develop custom solutions. • Monitor pipeline performance and tune processes to improve efficiency. • Work with cross-functional teams to understand data requirements and incorporate them into the data framework. • Actively participate in discussions, offering input and feedback to drive continuous improvement.