Python Data Engineer | Pleno

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Python Data Engineer | Pleno based in Brazil.

This role sits at the heart of building and maintaining scalable data systems that power analytics, business intelligence, and data-driven decision-making. You will work in a fast-paced, innovation-driven environment where data engineering excellence directly supports strategic business outcomes. The position involves designing robust ETL processes, optimizing data pipelines, and ensuring high performance across large and complex datasets. You will collaborate closely with analysts, data scientists, engineers, and business stakeholders to transform raw data into reliable and usable insights. This is a hands-on engineering role focused on quality, scalability, and continuous improvement of data workflows. You will also contribute to data modeling, system integration, and the evolution of modern data platforms in a cloud-oriented ecosystem.

Accountabilities

In this role, you will be responsible for developing and maintaining end-to-end data pipelines that support analytical and operational use cases. You will work on transforming data from multiple sources into structured, high-quality datasets while ensuring performance, scalability, and reliability across all data workflows. You will also contribute to monitoring, optimization, and documentation of data processes while collaborating across technical and business teams.

• Develop and maintain ETL (Extract, Transform, Load) processes and data workflows
• Build, optimize, and maintain scalable data pipelines for analytical consumption
• Model, transform, and integrate data from multiple heterogeneous systems
• Ensure data quality, reliability, performance, and sustainability of data solutions
• Monitor data workloads and optimize for cost, efficiency, and performance
• Perform data modeling and support analytical exploration, segmentation, and reporting
• Document technical processes, pipelines, and data architecture clearly and consistently
• Collaborate with analysts, data scientists, engineers, and business stakeholders
• Support onboarding and knowledge sharing for new team members
• Identify and drive continuous improvement initiatives in data engineering processes
  
  

Requirements

This position requires strong hands-on experience in data engineering, with a solid foundation in Python, SQL, and modern data processing concepts. You should be comfortable working with both relational and non-relational databases, and able to operate effectively in environments with large and complex datasets. Strong analytical thinking, collaboration skills, and attention to detail are essential.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related fields
• Experience working with ETL processes and data pipeline development
• Strong proficiency in Python and SQL
• Experience with relational and non-relational databases
• Background in data analysis, KPI monitoring, and analytical studies
• Ability to read and understand technical documentation in English
• Familiarity with Data Lake concepts and Apache Spark (preferred)
• Experience in data engineering projects with large-scale data environments (preferred)
• Knowledge of data governance, quality, and architecture best practices (preferred)
  
  

Benefits

• Health and dental insurance
• Meal and food allowances
• Childcare assistance
• Extended parental leave
• Gym and wellness partnerships (Wellhub / TotalPass)
• Profit sharing (PLR)
• Life insurance
• Continuous learning and development platforms
• Discounts and learning resources
• Language learning support
• Additional wellness and professional development benefits
  
  

How 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?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.