
Engenheiro(a) de Dados e Backend Sênior (PJ)
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 Engenheiro(a) de Dados e Backend Sênior (PJ) based in Brazil.
This role sits at the intersection of data engineering and backend development, supporting mission-critical financial processes within a complex capital markets environment.
You will be responsible for building and evolving scalable data pipelines and backend systems that power key business decisions, especially around eligibility and structured credit operations.
The position demands strong technical depth, as you will translate financial rules into reliable system logic while ensuring accuracy, performance, and traceability of data flows.
You will work with large-scale distributed systems, contributing to event-driven architectures and high-volume data processing pipelines.
Collaboration is central, as you will partner with business and technical teams to automate operational decisions and improve system efficiency.
This is a highly impactful role for someone who thrives in solving complex data challenges in a fast-evolving financial technology environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro(a) de Dados e Backend Sênior (PJ) based in Brazil.
This role sits at the intersection of data engineering and backend development, supporting mission-critical financial processes within a complex capital markets environment.
You will be responsible for building and evolving scalable data pipelines and backend systems that power key business decisions, especially around eligibility and structured credit operations.
The position demands strong technical depth, as you will translate financial rules into reliable system logic while ensuring accuracy, performance, and traceability of data flows.
You will work with large-scale distributed systems, contributing to event-driven architectures and high-volume data processing pipelines.
Collaboration is central, as you will partner with business and technical teams to automate operational decisions and improve system efficiency.
This is a highly impactful role for someone who thrives in solving complex data challenges in a fast-evolving financial technology environment.