Senior Data Engineer (Python)

Pyyne Digital; Buenos Aires; A distancia; ARS 135.820.000 - 211.276.000; Jornada completa

Descripción de la vacante

Pyyne Digital is a modern technology consultancy seeking a Senior Data Engineer with 8+ years of experience to work as a consultant for our US-based clients. This high-impact role involves co-owning architecture, data pipeline design and implementation, infrastructure, deployment, and operations while mentoring junior engineers.

This client-facing role is ideal for a senior engineer who loves working with people and contributing to AI-powered features within the broader product architecture.

Formación

• 8+ years of experience across multiple listed areas, including testing, Git, IaaS and documentation.
• 3+ years of Python development and data engineering experience.
• 3+ years in deployment automation, distributed systems, and CI/CD.
• 3+ months of agentic engineering experience.
• Hands-on experience building and scaling data pipelines.
• 2+ years with Airflow or similar workflow tools is expected.
• Strong data warehousing understanding and production deployment experience.
• Excellent communication with both technical and non-technical stakeholders. Fluent English.

Responsabilidades

• Design, build, maintain, and operate production-grade data pipelines.
• Co-own orchestration and deployment automation for reliable releases.
• Design data warehousing solutions and architectures.
• Mentor junior/mid-level engineers on the team.
• Contribute to AI-powered features within the product architecture.
• Maintain documentation and follow structured source control and peer reviews.
• Participate in architecture and design decisions across client engagements.

Conocimientos

Automated testing

Git

Infrastructure as a Service

Documentation

Python

Data engineering

Deployment automation

Distributed systems

CI/CD

Agentic engineering

Fluent English

Herramientas

Airflow

GitHub

Infrastructure as Code

Descripción del empleo

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

Don’t meet every single requirement? Apply anyway! At our core, we value growth, adaptability, and passion just as much as a checklist of skills. If you are excited about this role and your experience doesn't align perfectly with every tech requirement, we still encourage you to apply. The only non-negotiable for us is fluent English, as you'll be collaborating daily with global teams. If you’ve got the language skills and the drive to learn, you might be exactly who we are looking for to bring a fresh perspective to our team!