Senior Analytics Engineer

New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Advanced English
Experience
3+ years
Required Skills
PythonSQLArtificial IntelligenceData modelingLooker

Requirements

  • 3+ years of experience in analytics engineering, data engineering, or related fields.
  • Hands-on experience building complex pipelines, data models, and scalable data solutions.
  • Advanced SQL skills.
  • Strong production-level Python experience for automation pipelines and data workflows.
  • Solid understanding of the full data lifecycle, including data modeling, transformation, architecture, and governance practices.
  • Practical knowledge of AI and large language models, including designing structured context, instructions, and capabilities for AI-powered tools.
  • Advanced English communication skills, both written and verbal.
  • Strong autonomy, organization, and ability to manage priorities in an ambiguous, high-demand environment.
  • Ability to take ownership of projects from initial problem definition through implementation and delivery.

Responsibilities

  • Design, build, and maintain high-quality data pipelines and data models within a modern data architecture, ensuring scalability, reliability, and clear ownership.
  • Improve existing data assets, processes, and governance standards while establishing best practices for data quality and consistency.
  • Develop AI-powered capabilities, including data agents, reusable workflows, and natural-language interfaces, to increase team productivity and analytical efficiency.
  • Build and optimize BI semantic layers and data models so that both analysts and AI tools can reliably access meaningful information.
  • Partner with analysts, engineers, and business stakeholders to define requirements, scope technical solutions, and deliver end-to-end data initiatives.
  • Communicate technical concepts, architectural decisions, and trade-offs clearly to both technical and non-technical audiences.
  • Promote a culture of ownership, collaboration, continuous improvement, and responsible use of data and AI technologies.
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