Data-Driven Full-Stack Engineer: React + Python

Worky; East Midlands; On-site; GBP 70,000 - 110,000; Full time

Job summary

Worky in the United Kingdom seeks a Full Stack Engineer with a data science focus to bridge data engineering and user-facing dashboards for Zula 2.0, the platform ranking and fusing rail inspection data. This seat decides what analysts and customers see and drives progress through year-end.

You will design data pipelines, build dashboards with React, develop RESTful APIs, and deploy ML models on AWS, collaborating with analysts, engineers, and product managers across the rail business.

Qualifications

• Design and implement data pipelines, ETL processes, and backend services using Python.
• Build interactive dashboards, data visualization tools, and web applications using React.
• Develop RESTful APIs that connect data services to frontend applications.
• Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data.
• Implement and deploy machine learning models and statistical analyses in production environments.
• Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions).
• Collaborate with domain experts to translate rail inspection requirements into technical solutions.
• Write clean, tested, well-documented code following engineering best practices.
• Participate in code reviews, sprint planning, and technical design discussions.
• Collaborate with cross-functional teams including inspection engineers, data scientists, and product managers.
• Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence.

Responsibilities

• Design and develop data pipelines, ETL processes, and backend services using Python
• Build interactive dashboards, data visualization tools, and web applications using React
• Develop RESTful APIs that connect data services to frontend applications
• Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data
• Implement and deploy machine learning models and statistical analyses in production environments
• Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions)
• Collaborate with domain experts to translate rail inspection requirements into technical solutions
• Write clean, tested, well-documented code following engineering best practices
• Participate in code reviews, sprint planning, and technical design discussions
• Collaborate with cross-functional teams including inspection engineers, data scientists, and product managers
• Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence

Skills

Python

React

ETL pipelines

SQL databases

AWS

TypeScript

CI/CD

Git

Data visualization

Communication

Tools

Docker

AWS

Terraform

CloudFormation

Kubernetes

Webpack/Vite

TypeScript tooling

Pandas

NumPy

Scikit-learn

Job description

Worky in the United Kingdom seeks a Full Stack Engineer with a data science focus to bridge data engineering and user-facing dashboards for Zula 2.0, the platform ranking and fusing rail inspection data. This seat decides what analysts and customers see and drives progress through year-end.

You will design data pipelines, build dashboards with React, develop RESTful APIs, and deploy ML models on AWS, collaborating with analysts, engineers, and product managers across the rail business.