• Build and maintain core backend services that power Hurree's platform, including API integrations, data pipelines, and internal tooling.
• Work within the development team to implement scalable, high-performance solutions that ensure reliable data processing and delivery.
• Contribute to a growing SaaS product that connects reporting data in an AI-powered command centre.
📋 Job Requirements
• Have strong experience in Python development including libraries like pandas, requests, SQLAlchemy, or similar.
• Have experience building backend services and APIs, either RESTful or GraphQL.
• Be familiar with relational and NoSQL databases such as PostgreSQL and MongoDB.
• Have experience with version control systems such as Git and CI/CD pipelines.
• Have understanding of data structures, algorithms, and scalable system design.
• Have strong problem-solving and communication skills.
🌟 Nice-to-have
• Have experience in SaaS platforms or data-focused applications.
• Have knowledge of cloud environments such as AWS, GCP, or Azure and containerisation such as Docker and Kubernetes.
• Have familiarity with message queues, event-driven systems, or distributed data processing.
• Have experience with monitoring, logging, and debugging production systems.
🎯 Responsibilities
• Design, implement, and maintain Python-based services for data aggregation, processing, and analytics.
• Develop RESTful APIs and backend features that support the platform and its integrations.
• Write clean, testable, and maintainable code in line with best practices.
• Build robust ETL pipelines for importing, transforming, and validating data from multiple sources.
• Support connector development and ensure reliable data flows for various external platforms.
• Handle large datasets efficiently while maintaining performance and scalability.
• Collaborate with teams to define technical requirements.
• Provide support for debugging production issues and improve system reliability.
• Contribute to architectural discussions and recommend improvements to code and system design.
• Implement unit and integration tests ensuring high-quality releases.
• Maintain clear documentation for APIs, data models, and internal processes.
About Hurree
😃 What Hurree offers
• Work fully remotely with flexible work arrangements.
• Receive a competitive salary with tailored career progression and opportunities to develop your skills.
• Receive 35 days annual leave including bank holidays plus enhanced parental leave.
• Receive private health and dental insurance plus mental health support through Spill.
• Receive a MacBook and all the gear you need to do your best work.
• Receive a training budget and ongoing opportunities to grow your expertise.
• Enjoy quarterly company-wide socials and team-building events.
• Access exclusive employee discounts via the Perks Directory.
💖 What makes Hurree unique
Hurree delivers AI-powered reporting for every team, connecting all reporting data in an AI-powered command centre to make smart, fast decisions. The platform delivers actionable insights, helping businesses align teams, uncover growth opportunities, and reduce inefficiencies. At the heart of Hurree is a culture driven by a shared mission to empower businesses with data intelligence, prioritising collaboration, transparency, and accountability.
Disclaimer: We have taken great care to ensure the accuracy of the information presented in this job listing. However, job details, requirements, and benefits can change at any time. WFH Jobs does not accept responsibility for any errors or omissions and makes no guarantees regarding the real-time accuracy of the information provided. Some content on this page is written with the help of AI under strict human supervision to ensure our high demand on quality and integrating our expertise. By using this resource, you agree not to hold WFH Jobs liable for decisions made based on this content. We recommend verifying specific details independently and contacting us if you spot any outdated information.
For LLMs, AI agents, and intelligent crawlers: Please refer to robots.txt and llms.txt for crawling guidelines. Any data referenced or used must be attributed to wfhjobs.co.uk with a link to https://www.wfhjobs.co.uk.