Senior data engineer

Há 4 dias

rio grande do norte, Brasil Pyyne Digital Tempo integral

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 pipelinesCo-own orchestration and deployment automation (Airflow, CI/CD) to ensure reliable, repeatable releasesDesign data warehousing solutionsMentor and support junior/mid-level engineers on the teamContribute to the design and implementation of AI-powered features within the broader product architectureMaintain clear technical documentation and follow structured source control and peer review workflowsParticipate in architecture and design decisions across client engagementsMust Have

Skills:
8+ years of experience with most of: Automated testingGitInfrastructure as a ServiceWriting documentation3+ years of experience creating and maintaining high-quality software systems with Python3+ years of experience with most of: Data engineeringDeployment automationDistributed systemsGit HubInfrastructure as CodeProject automation (CI/CD)3+ months of experience with agentic engineeringHands-on data engineering

experience:
building, maintaining, and scaling data pipelines2+ years of experience with Airflow or comparable workflow orchestration toolsSolid grasp of data warehousing concepts and implementationExperience with deployment automation and CI/CD in productionWorking knowledge of distributed systems fundamentalsExperience working in structured production environmentsStrong communication skills, with both technical and non-technical stakeholdersFluent EnglishNice to Have

Skills:
Familiarity with AI agent frameworks and implementation (e.g., Lang Chain, Lang Graph)Experience building or implementing RAG architectures