Senior Data Engineer (APIs for Data Platform)

Responsibilities

• Create and sustain RESTful and GraphQL APIs to support scalable, high‑performance applications.
• Collaborate with data engineers and software teams to enable seamless API data pipeline integrations with web applications.
• Build and maintain applications using Java Spring Boot, Hibernate, Python FastAPI, and ReactJS.
• Ensure scalability, security, and reliability by applying best practices for multi‑threading, concurrency, and microservices architecture.
• Influence architectural decisions to optimize performance across application, data, and infrastructure layers.
• Develop and deploy solutions on Azure, leveraging SQL Server, Redis, App Services, and API Management.
• Develop and maintain test automation frameworks to validate data quality and service reliability.
• Mentor junior engineers and foster a collaborative team environment.

Requirements

• Bachelor’s degree in computer engineering, computer science, or related discipline; Master’s degree preferred.
• 7+ years of software development experience in Big Data.
• 7+ years of experience with modern programming languages such as Java and Java‑based frameworks (Spring, Maven), plus Python.
• 3+ years of web development experience using ReactJS and TypeScript.
• 3+ years of experience across application, data, and infrastructure architecture disciplines.
• 3+ years of experience with multi‑threading, concurrency, and highly scalable microservices and REST services.
• Strong collaboration skills and ability to build meaningful relationships within cross‑functional teams.
• Extensive experience with message driven patterns such as Service Bus, Kafka, Tibco, EMS, and MQ.

Technologies

• Java
• Spring Boot
• Hibernate
• Python
• FastAPI
• ReactJS
• TypeScript
• REST
• GraphQL
• Maven
• SQL Server
• Redis
• App Services
• API Management
• Azure
• Kafka
• Service Bus
• Tibco
• EMS
• MQ
• JavaScript
• PowerShell
• Shell scripting
• Regex
• AWS
• GCP

Preferred Skills

• Experience with Azure, AWS, and GCP cloud environments
• Strong communication skills to present complex technical solutions to stakeholders
• Proficiency in scripting languages such as JavaScript, PowerShell, shell scripting, and Regex
• Experience building and supporting AI/ML software solutions
• Prior experience in Life Sciences or data analytics in a similar domain
• Knowledge of test automation tools to validate data accuracy and system reliability

Compensation

• USD 35.00 - 40.00 per hour

Work Location

• Remote; 100% remote role. Offshore candidates are acceptable if you can work UK hours.