Enter Ai

Data Engineer

São Paulo. Posted 3 months ago

The role

This person will found the data engineering area by establishing architecture, quality, and infrastructure from scratch. They will build the central data ecosystem and design high-scale pipelines to support business decisions.

What you will do

  • Build and evolve the central data ecosystem
  • Structure complex transactional data for analytical consumption
  • Design high-scale pipelines and Data Warehouse/OLAP solutions
  • Implement data quality, observability, and automated testing processes
  • Act as a bridge between Product, Engineering, and Operations teams
  • Define the data stack, processes, and best practices
  • Lead complex projects across multiple teams
  • Manage ambiguity and alignment between stakeholders
  • Identify structural risks in complex projects early

Required qualifications

  • Proven experience building data infrastructure from scratch
  • Solid maturity in data modeling, data warehouse architecture, and analytical flows
  • Practical experience implementing observability and structured data tests in production
  • Experience with high volumes of transactional data
  • Software engineering skills for programming and system design
  • Understanding of how technical decisions connect to business results
  • History of working in multidisciplinary squads
  • Ability to articulate complex technical decisions to different stakeholders
  • Capacity to sustain an accelerated and high-quality delivery pace
  • Practical and operational hands-on posture
  • Collaborative work style
  • Availability for 100% on-site work in São Paulo (Pinheiros)

Nice to have

  • Experience with Enterprise clients (B2B, long cycles, complex requirements)
  • Experience in regulated sectors such as LegalTech or FinTech
  • Experience with AI/LLM based products

Benefits

  • Competitive remuneration
  • Health plan
  • Housing allowance for those living near the Pinheiros office

Before you apply

  • Initial interview for alignment of expectations and motivation
  • R1: Technical Case involving an analytical and practical data challenge
  • R2: Interview with the Hiring Manager to discuss the case and structural choices
  • Cultural Interview focused on behavioral dimensions

About the company

Enter combines human expertise and artificial intelligence to execute critical, high-volume tasks. The company aims to lead the AI revolution in Brazil through efficiency and cutting-edge technology.

Data Engineer at Enter Ai | JobZoey