E

Enter

Automates high-volume enterprise litigation with AI

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Demonstrated experience building data infrastructure from scratch and designing solutions, rather than only operating established platforms.
  • Strong maturity in data modeling, data warehouse architecture, and organizing analytical workflows.
  • Practical experience implementing data observability and structured data tests in production.
  • Experience with high-volume transactional data.
  • Ability to program and design systems, with software engineering fluency beyond operating data tools.
  • Understanding of how technical decisions connect to business outcomes and ability to prioritize by impact.
  • Experience working in multidisciplinary squads and communicating technical risks clearly to non-technical managers.
  • Ability to communicate complex technical decisions to different stakeholders and ensure alignment and transparency.
  • Ability to sustain a fast, high-quality delivery pace in startup environments, including under pressure and ambiguity.
  • A hands-on approach, actively executing through prototyping, configuring tools, performing analyses, or resolving critical operational problems.
  • Availability to work fully on-site in São Paulo (Pinheiros), Monday through Friday.

Responsibilities

  • Build and evolve Enter’s central data ecosystem so other teams can consume, organize, and extract value from it autonomously, at scale, and with strong performance.
  • Structure complex transactional data for analytical use, designing high-scale pipelines and Data Warehouse and OLAP solutions that support strategic business decisions.
  • Implement rigorous data quality, observability, and automated testing processes to eliminate inconsistencies and make data reliable across the company.
  • Partner with Product, Engineering, and Operations (AID), translating business demands into robust data architectures and solutions that accelerate value delivery.
  • As the first dedicated data engineering hire, define the data engineering stack, processes, and best practices, serving as the technical reference for scalability and governance.
  • Lead complex projects spanning multiple teams.
  • Structure work amid ambiguity when the problem or owners are unclear, aligning multiple stakeholders without formal authority over them.
  • Identify structural risks affecting multiple teams early in complex projects, before they become execution problems.

Desired Qualifications

  • Experience with enterprise clients, B2B, long sales cycles, and complex requirements.
  • Practical experience developing digital solutions for legal technology, financial technology, or other markets with substantial regulatory and operational complexity.
  • Experience with products whose core value proposition involves artificial intelligence or language models, including managing the uncertainty and performance challenges of these technologies.

About the Company

Enter

Automates high-volume enterprise litigation with AI

Enter uses AI-powered agents to automate high-volume litigation for large Brazilian enterprises. It connects to courts, legal ERP systems, and internal tools to classify lawsuits, and its AI reads all case documents, enriches cases with external records, runs fraud checks, and helps draft tailored answers with jurimetric analysis and hearing prep. It differentiates itself through deep enterprise-system integration, specialized fraud detection and jurimetrics, and a focus on scalable mass litigation with strict compliance and zero data retention from AI providers. Its goal is to help Brazil become a leader in artificial intelligence by combining AI with human expertise to automate major legal processes for large companies.

Company size
201-500
Company stage
Series B
Total funding
$140.5M
Headquarters
São Paulo, Brazil
Founded
2023

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