Senior Data Engineer (Python)

Pyyne Digital; Brasil; À distance; BRL 626 000 - 939 000; Plein temps

Résumé du poste

Pyyne is seeking a Senior Data Engineer with 8+ years of experience to work as a consultant for our US-based clients, focusing on data-intensive solutions in the financial services sector.

You will co-own architecture, data pipelines, infrastructure, deployment, and operations while mentoring junior engineers and contributing to AI-powered features within the broader product architecture.

Qualifications

• 8+ years of experience with most of: Automated testing, Git, Infrastructure as a Service, Writing documentation.
• 3+ years of experience creating and maintaining high-quality software systems with Python.
• 3+ years of experience with Data engineering, Deployment automation, Distributed systems, GitHub, Infrastructure as Code, CI/CD.
• 3+ months of experience with agentic engineering.
• Hands-on data engineering experience: building, maintaining, and scaling data pipelines.
• 2+ years of experience with Airflow or comparable workflow orchestration tools.
• Solid grasp of data warehousing concepts and implementation.
• Experience with deployment automation and CI/CD in production.
• Working knowledge of distributed systems fundamentals.
• Experience working in structured production environments.
• Strong communication skills, with both technical and non-technical stakeholders.
• Fluent English.

Responsabilités

• Design, build, maintain, and operate production-grade services and data pipelines
• Co-own orchestration and deployment automation (Airflow, CI/CD) to ensure reliable, repeatable releases
• Design data warehousing solutions
• Mentor and support junior/mid-level engineers on the team
• Contribute to the design and implementation of AI-powered features within the broader product architecture
• Maintain clear technical documentation and follow structured source control and peer review workflows
• Participate in architecture and design decisions across client engagements

Connaissances

Automated testing

Git

Infrastructure as a Service

Writing documentation

Python

Data engineering

Deployment automation

Distributed systems

GitHub

Infrastructure as Code

CI/CD

Agentic engineering

Airflow

Data pipelines

Data warehousing

Production deployment

Distributed systems fundamentals

Structured production environments

Strong communication

Fluent English

Outils

LangChain

LangGraph

Description du poste

About Pyyne

Pyyne is a modern technology consultancy engineering the next generation of digital products and services.

At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.

Job Summary

Pyyne is seeking a Senior Data Engineer with 8+ years of experience to work as a consultant for our US-based clients. This is a high-impact role for Pyyne as we rapidly expand our Engineering practice globally.

The right candidate will be a technical leader on a lean team building data-intensive solutions for our clients in the financial services sector — co-owning architecture, data pipeline design and implementation, infrastructure, deployment, and operations while supporting junior engineers.

This is a client-facing role and ideal for a senior engineer who loves working with people.

Key Responsibilities

• Design, build, maintain, and operate production-grade services and data pipelines
• Co-own orchestration and deployment automation (Airflow, CI/CD) to ensure reliable, repeatable releases
• Design data warehousing solutions
• Mentor and support junior/mid-level engineers on the team
• Contribute to the design and implementation of AI-powered features within the broader product architecture
• Maintain clear technical documentation and follow structured source control and peer review workflows
• Participate in architecture and design decisions across client engagements

Must Have Skills:

• 8+ years of experience with most of:
  • Automated testing
  • Git
  • Infrastructure as a Service
  • Writing documentation
• 3+ years of experience creating and maintaining high-quality software systems with Python
• 3+ years of experience with most of:
  • Data engineering
  • Deployment automation
  • Distributed systems
  • GitHub
  • Infrastructure as Code
  • Project automation (CI/CD)
• 3+ months of experience with agentic engineering
• Hands-on data engineering experience: building, maintaining, and scaling data pipelines
• 2+ years of experience with Airflow or comparable workflow orchestration tools
• Solid grasp of data warehousing concepts and implementation
• Experience with deployment automation and CI/CD in production
• Working knowledge of distributed systems fundamentals
• Experience working in structured production environments
• Strong communication skills, with both technical and non-technical stakeholders
• Fluent English

Nice to Have Skills:

• Familiarity with AI agent frameworks and implementation (e.g., LangChain, LangGraph)
• Experience building or implementing RAG architectures