Senior Data Engineer (Python)

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

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