Data Engineer (Databricks & Azure) | Senior
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Databricks & Azure) | Senior based in Brazil.
This is a senior data engineering role focused on building and evolving modern Lakehouse architectures that power analytics and business intelligence at scale. You will play a key role in designing and maintaining the analytical consumption layer of a cloud data platform, ensuring data is reliable, well-governed, and optimized for performance. The position involves deep work with Databricks, Azure, and Power BI, connecting raw and curated data layers into actionable insights for business stakeholders. You will be responsible for ensuring data traceability, observability, and reprocessing capabilities across large-scale pipelines. Working in a highly technical and innovation-driven environment, you will collaborate with analytics and business teams to enable strategic decision-making. The role also requires strong ownership of data modeling, storage strategy, and governance practices within a modern Lakehouse ecosystem. This is an opportunity to shape enterprise-grade data platforms in a cloud-native and AI-oriented context.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Databricks & Azure) | Senior based in Brazil.
This is a senior data engineering role focused on building and evolving modern Lakehouse architectures that power analytics and business intelligence at scale. You will play a key role in designing and maintaining the analytical consumption layer of a cloud data platform, ensuring data is reliable, well-governed, and optimized for performance. The position involves deep work with Databricks, Azure, and Power BI, connecting raw and curated data layers into actionable insights for business stakeholders. You will be responsible for ensuring data traceability, observability, and reprocessing capabilities across large-scale pipelines. Working in a highly technical and innovation-driven environment, you will collaborate with analytics and business teams to enable strategic decision-making. The role also requires strong ownership of data modeling, storage strategy, and governance practices within a modern Lakehouse ecosystem. This is an opportunity to shape enterprise-grade data platforms in a cloud-native and AI-oriented context.