Full Stack Engineer: Data Science & React

Sperry Rail, Inc.; East Midlands; On-site; GBP 70,000 - 110,000; Full time

Job summary

Sperry Rail, Inc. is seeking a Full Stack Engineer with a data science focus, combining backend data services with React-based dashboards.

You will connect rail inspection data across the Zula 2.0 platform, building pipelines, APIs, and visualizations for stakeholders. The role emphasizes collaboration with data engineers, software engineers, and domain experts, leveraging Python, AWS, and modern frontend tooling to deliver scalable, production-grade solutions in a fast-paced, mission-critical

Qualifications

• Proficiency in Python with data-science libraries is essential.
• Solid React experience including hooks and state management.
• Experience building data pipelines and handling structured/unstructured data.
• Strong SQL knowledge across relational and non-relational stores.
• Hands-on with AWS cloud services for data workloads.
• Familiarity with modern frontend tooling and CI/CD processes.
• Ability to explain complex concepts to non-technical stakeholders.
• Experience with data visualization libraries and dashboards.
• Exposure to time-series, geospatial, or IoT data streams.
• Prior work in rail testing, NDT, or sensor data is a plus.

Responsibilities

• Design and develop data pipelines, ETL processes, and backend services using Python.
• Build interactive dashboards and web applications using React.
• Develop RESTful APIs connecting data services to frontend apps.
• Work with large-scale rail inspection datasets including various data types.
• Implement and deploy machine learning models and analyses in production.
• Architect and manage AWS cloud infrastructure for data workloads.
• Collaborate with domain experts to translate requirements into technical solutions.
• Write clean, tested, well-documented code and participate in code reviews.
• Collaborate with cross-functional teams to deliver end-to-end solutions.

Skills

Python

React

SQL

AWS

CI/CD

Git

Data Visualization

Time-series data

Geospatial data

Docker

CI/CD pipelines

IaC (Terraform/CDK)

Tools

Docker

CloudFormation

Terraform

CDK

Webpack/Vite

Git

Job description

Sperry Rail, Inc. is seeking a Full Stack Engineer with a data science focus, combining backend data services with React-based dashboards.

You will connect rail inspection data across the Zula 2.0 platform, building pipelines, APIs, and visualizations for stakeholders. The role emphasizes collaboration with data engineers, software engineers, and domain experts, leveraging Python, AWS, and modern frontend tooling to deliver scalable, production-grade solutions in a fast-paced, mission-critical