[Job-30699] Senior Python Developer ( Data Engineer ), Brazil

BrazilRemoteHomeofficesenior

Software EngineeringPython Developer

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

Technical Tools

Software EngineeringPython Developer

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

At CI&T, we are looking for a Senior Python Developer / Data Engineer to join a strategic initiative focused on modernizing and evolving our forecasting and data processing platforms.

This role is ideal for a professional who is highly skilled in Python development, passionate about code quality, refactoring, performance optimization, and software engineering best practices, while also bringing good knowledge of Data Engineering concepts and production data pipelines.

The main challenge is not building a system from scratch, but improving, restructuring, and scaling an existing production codebase, ensuring maintainability, reliability, observability, and long-term sustainability.

Responsibilities

~1 min read

→
Refactor and simplify existing Python production codebases to improve readability, maintainability, and performance.
→
Improve project architecture by organizing reusable logic into modular, testable Python packages and services.
→
Eliminate duplicated, fragile, or unnecessary code and apply clean code principles.
→
Implement and maintain unit, integration, and regression tests.
→
Enhance configuration management by replacing hard-coded values with scalable abstractions.
→
Improve observability and monitoring of data pipelines and forecasting processes through logging, metrics, alerting, and diagnostics.
→
Automate repetitive development and deployment tasks where appropriate.
→
Produce clear technical documentation for code, architecture, operational processes, and business rules.
→
Collaborate closely with engineering teams to evolve the platform without disrupting ongoing feature delivery.
→
Recommend pragmatic technical improvements that increase stability, scalability, and engineering efficiency.

Requirements

~1 min read

Advanced / Fluent English (C1 or higher) , mandatory.
Strong experience with Python and solid Software Engineering fundamentals.
Proven experience refactoring and modernizing existing production systems.
Experience designing maintainable, modular, and reusable Python applications.
Strong knowledge of automated testing (unit, integration, and regression testing).
Experience debugging and troubleshooting complex production workflows.
Solid understanding of Git workflows, code reviews, and collaborative development practices.
Ability to work independently in fast-paced and ambiguous environments.
Good understanding of Data Engineering concepts, including data pipelines, ETL/ELT processes, data quality, and scalable data processing workflows.

Nice to Have

~1 min read

Experience with production data pipelines or forecasting systems.
Familiarity with Databricks, Spark, or similar modern data platforms.
Experience with CI/CD tools such as GitHub Actions, Azure DevOps, or similar.
Knowledge of Azure cloud services.
Experience migrating notebook-based workflows into production-grade Python applications.
Familiarity with data quality validation, monitoring, and observability practices for analytical or forecasting systems.

What We Offer

~2 min read

You will work on large-scale, business-critical data and forecasting solutions, collaborating with talented engineers in a global environment that values technical excellence, continuous improvement, and innovation. This is an excellent opportunity for someone who enjoys clean architecture, high-quality Python development, and modern Data Engineering practices while making a real impact on production systems.

#LI-LL1

Our benefits:

-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!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.