About the role

Develop and maintain scalable data solutions using Python and manage business rules via FICO DMPS and Blaze Advisor. Build system integrations and collaborate with multidisciplinary teams to automate business decisions and optimize data architectures.

What they look for

Python FICO DMPS FICO DM Blaze Advisor Data Engineering API Integration Business Rules Development Data Analysis Data Transformation Agile Methodologies Scrum Kanban Version Control CI/CD Cloud Environments Prompt Engineering

Requirements

Requires strong professional experience in Python development and hands-on expertise with FICO decision management platforms. Candidates must be proficient in API integrations, data validation practices, and working within Agile environments.

Benefits

Health Insurance Dental Insurance Meal Allowance Food Allowance Childcare Assistance Extended Parental Leave Fitness and Wellness Partnerships Profit-sharing Program Life Insurance Continuous Learning Platform Professional Development Opportunities Partner Program Discounts Mental Health and Well-being Platforms Parenting and Maternity/Paternity Support Language Learning Platform

Full description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de Dados Senior (Python, FICO DMPS e FICO DM (ou Blaze Advisor)) based in Brazil.

This role is designed for a senior data professional who enjoys solving complex technical challenges and building reliable, scalable solutions.You will work on data processing, system integrations, and business decision automation initiatives.The position combines strong Python expertise with experience in decision engines and enterprise data environments.You will collaborate closely with technology, data, and business teams to deliver high-quality solutions.The role requires technical autonomy, analytical thinking, and a continuous improvement mindset.It is an opportunity to contribute to modern data-driven projects while evolving architectures, processes, and engineering practices.

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Accountabilities: The Senior Data Engineer will be responsible for developing, maintaining, and improving data solutions while supporting integrations, decision automation, and business process evolution. The role requires hands-on technical execution, strong problem-solving skills, and collaboration across multidisciplinary teams.

Develop, maintain, and evolve solutions using Python.

Implement and manage business rules using FICO DMPS and FICO DM (Blaze Advisor).

Build integrations between systems, decision engines, APIs, and corporate applications.

Perform data analysis, processing, transformation, and validation activities.

Participate in technical and functional refinement of requirements, helping design scalable and high-quality solutions.

Analyze AS-IS and TO-BE processes, identifying improvement opportunities and technical debt.

Execute tests, validations, and support solution approval and deployment processes.

Collaborate with technology, data, and business teams to ensure solutions meet project requirements.

Contribute to architecture improvements, performance optimization, code quality, and team productivity.

Provide support for existing solutions by investigating incidents and implementing continuous improvements.

Requirements:

The ideal candidate has strong experience in data engineering and software development, with proven expertise in Python, decision management platforms, integrations, and enterprise systems. A combination of technical depth, analytical ability, and experience working in agile environments is required.

Strong professional experience with Python development.

Hands-on experience with FICO DMPS.

Experience with FICO DM / Blaze Advisor.

Knowledge of business rules development and maintenance.

Experience integrating systems, APIs, databases, and enterprise applications.

Knowledge of data analysis, processing, and validation practices.

Strong understanding of software development best practices, version control, testing, and code quality.

Experience working in agile teams using methodologies such as Scrum or Kanban.

Nice to have:

Experience with Data Engineering, data pipelines, and cloud environments.

Knowledge of CI/CD practices and development automation.

Experience applying Artificial Intelligence tools to software development, such as GitHub Copilot, Prompt Engineering, or automated code review solutions.

Benefits:

Health and dental insurance.

Meal and food allowance.

Childcare assistance.

Extended parental leave.

Access to fitness, health, and wellness partnerships through Wellhub and TotalPass.

Profit-sharing program (PLR).

Life insurance.

Continuous learning platform and professional development opportunities.

Discounts through partner programs.

Online platforms focused on physical health, mental health, and well-being.

Parenting and maternity/paternity support programs.

Partnerships with online learning platforms.

Language learning platform.

Additional benefits and career development opportunities.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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