Senior Analytics Engineer (ETL/ELT focused) - Design Marketplace
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 Senior Analytics Engineer (ETL/ELT focused) - Design Marketplace based in Brazil.
This role is a high-impact, project-based analytics engineering engagement focused on designing and delivering the foundational data infrastructure that enables advanced marketing analytics use cases. You will play a critical role in translating external vendor requirements into scalable, production-ready data models within a modern cloud data stack. The position sits at the intersection of data engineering, analytics, and marketing measurement, supporting the integration of a marketing mix modeling and incrementality testing vendor. You will work closely with both internal data stakeholders and external partners to ensure seamless data alignment, high-quality transformations, and robust analytics readiness. The environment is highly autonomous and technical, requiring strong ownership and the ability to independently drive complex implementations from specification to deployment. This is an opportunity to shape core data architecture supporting large-scale consumer insights and experimentation frameworks.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer (ETL/ELT focused) - Design Marketplace based in Brazil.
This role is a high-impact, project-based analytics engineering engagement focused on designing and delivering the foundational data infrastructure that enables advanced marketing analytics use cases. You will play a critical role in translating external vendor requirements into scalable, production-ready data models within a modern cloud data stack. The position sits at the intersection of data engineering, analytics, and marketing measurement, supporting the integration of a marketing mix modeling and incrementality testing vendor. You will work closely with both internal data stakeholders and external partners to ensure seamless data alignment, high-quality transformations, and robust analytics readiness. The environment is highly autonomous and technical, requiring strong ownership and the ability to independently drive complex implementations from specification to deployment. This is an opportunity to shape core data architecture supporting large-scale consumer insights and experimentation frameworks.