Senior Data Engineer

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!