Senior Data Developer

📍 São Paulo - SP Publicado 03/06/2026 Tecnologia da Informação
Remoto / Home office
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We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

Local

São Paulo - SP

Remoto

Responsabilidades

  • Develop, maintain, and improve data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable curated datasets.
  • Integrate new data sources into the existing data ecosystem, helping expand the platform's capabilities and improve business visibility.
  • Support financial reconciliation activities, P&L routines, and global closing processes by ensuring data consistency, accuracy, and traceability across different sources.
  • Process large volumes of structured and semi-structured data, optimizing transformations, storage formats, and query performance using Delta Lake and Lakehouse best practices.
  • Monitor, troubleshoot, and support existing pipelines, identifying issues, investigating discrepancies, and ensuring reliable daily and monthly processing.
  • Propose and implement better technical approaches to improve performance, scalability, maintainability, and data quality across the financial data ecosystem.
  • Work closely with existing data engineers, business stakeholders, finance teams, and technology teams to understand needs and deliver high-quality data solutions.
  • Support data governance, validation rules, auditability, documentation, and controls to ensure trustworthy and well-managed financial data.
  • Support initiatives involving AI models and advanced data capabilities, helping integrate AI-driven insights and automation into data workflows.

Requisitos

  • Strong experience with Databricks, including notebooks, jobs, workflows, clusters, and best practices for building scalable data solutions.
  • Proficiency in data processing using PySpark, Python, and SQL, with hands-on experience transforming raw data into curated and reliable datasets.
  • Experience with Delta Lake and Lakehouse architecture, including Delta tables, incremental processing, data optimization, and structured data layers.
  • Knowledge of Azure data ecosystem, especially Azure Data Lake Storage, data integration patterns, and cloud-based data processing.
  • Experience supporting financial data pipelines, preferably involving reconciliation, P&L, financial closing, or other critical business processes.
  • Hands-on experience maintaining and improving existing pipelines, including troubleshooting, performance tuning, documentation, and production support.
  • Ability to work with structured and semi-structured data, ensuring data quality, traceability, and readiness for analytical and business consumption.
  • Problem-solving mindset, with the ability to investigate complex data, understand root causes, and propose practical solutions in challenging data environments.
  • Interest or experience with AI models and advanced data capabilities, supporting the integration of AI-driven solutions into data workflows.
  • English proficiency for interaction with global teams, technical discussions, and documentation.

Diferenciais

  • Familiarity with AI frameworks and methodologies.
  • Experience with advanced capabilities, such as Delta Lake optimization, Databricks Workflows and Databricks Apps or Streamlit.
  • Experience with data quality and observability practices, including validation rules, reconciliation checks, monitoring, logs, alerts, and pipeline execution metrics.

Benefícios

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
  • Profit Sharing and Results Participation (PLR);
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • And many more!

Sobre a empresa

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history.

Artificial Intelligence is our reality.

Benefícios

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
  • Profit Sharing and Results Participation (PLR);
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • And many more!

Estimativa salarial para Data Developer em São Paulo/SP

Listamos abaixo as 3 profissões mais próximas com salário médio, conforme aproximação com ocupações do Ministério do Trabalho e Emprego.

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