Senior Data Engineer & Analytics Specialist (PLENO) - Brazil

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro(a) de Dados e Analytics PLENO based in Brazil.

This is a hands-on opportunity to build and evolve scalable data and analytics solutions in a modern, technology-driven environment.

You will contribute across the data lifecycle, from understanding technical needs and refining solutions to implementation, analysis, and continuous improvement.

The role combines Data Engineering and Analytics, with a strong focus on Python, SQL, cloud data platforms, and scalable pipelines.

You will work closely with technical and business stakeholders to turn complex requirements into reliable, high-quality data solutions.

The position also offers exposure to AI and ML initiatives, including model evaluation and emerging technologies such as LLMs.

Collaboration, technical curiosity, autonomy, and knowledge sharing are highly valued in this multidisciplinary environment.

This is an opportunity to contribute to global data and AI projects while continuously expanding your technical expertise.

Accountabilities

• Participate in inception and refinement sessions, helping understand business and technical requirements and define appropriate data solutions.
• Develop, maintain, and improve scalable, performant data pipelines and engineering solutions.
• Use Python and SQL for data engineering, transformation, exploration, and analysis.
• Perform exploratory data analysis (EDA) and data curation to identify patterns, inconsistencies, and opportunities for improvement.
• Support the evaluation of the quality and accuracy of AI models and data-driven solutions.
• Document analyses, technical decisions, and results, communicating insights effectively to both technical and business stakeholders.
• Collaborate with multidisciplinary teams, sharing knowledge and contributing to the technical development of other professionals.
• Apply software engineering best practices, including Clean Code, Git, version control, CI/CD, and quality assurance.
• Contribute to the continuous improvement, reliability, scalability, and performance of data solutions.
  
  

Requirements

• Solid professional experience with Python applied to Data Engineering and Data Analytics.
• Strong knowledge of SQL and data modeling.

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• Experience with exploratory data analysis (EDA) and data investigation.
• Experience or working knowledge of Azure Databricks and Azure Data Factory.
• Knowledge of cloud environments, particularly Azure or AWS, with an emphasis on data services.
• Experience with Git and CI/CD processes.
• Knowledge of Docker and containerization.
• Practical experience applying Clean Code and software development best practices.
• Ability to collaborate effectively with multidisciplinary teams and communicate technical solutions to different audiences.
• Analytical, proactive, autonomous, and collaborative mindset, with genuine curiosity and willingness to continuously learn.
  
  

Nice To Have

• Experience developing or deploying AI/ML solutions.
• Knowledge of LLMs, LangChain, and Prompt Engineering.
• Experience evaluating language models and working with relevant evaluation metrics or frameworks.
• Knowledge of MLflow or experiment-tracking and versioning tools.
• Experience with Data Quality and Data Lineage.
• Knowledge of Kubernetes.
• Experience with Power BI or other data visualization tools.
• Experience with data annotation and curation tools for AI applications.
  
  

Benefits

• 100% remote work, with office attendance required for professionals residing in the Campinas Metropolitan Region, according to the applicable workplace policy.

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• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Partnerships with gyms and health and wellness professionals through Wellhub and TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance.
• Access to a continuous learning platform.
• Partnerships with online learning platforms and a dedicated language-learning platform.
• Discount club.
• Free online platform focused on physical health, mental health, and overall well-being.
• Pregnancy and responsible parenting course.
• Opportunity to work on global Data and AI projects using modern Cloud, Data Engineering, and AI technologies.
• Collaborative environment focused on continuous learning, innovation, and technical growth.
• Inclusion support, with dedicated health and well-being teams, inclusion specialists, and affinity groups.
  
  

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?

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.

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.