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Python Developer

Mars Recruitment
Posted 16 hours ago, valid for 18 days
Location

Abingdon, Oxfordshire OX14 4SB, England

Salary

£375 - £450 per day

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Python Developer position is available in Didcot, Oxfordshire, offering a remote/hybrid work option for a duration of 6 months or more.
  • The role pays between £375 and £450 per day, classified as Outside IR35.
  • Candidates are expected to have proficiency in Python (Django) and JavaScript/React, along with experience in REST APIs and PostgreSQL.
  • The ideal candidate will collaborate on a cloud-based digital architecture to drive new features and improve platform capabilities for environmental sustainability.
  • Experience with Kubernetes, asynchronous task systems, and a strong grasp of software architecture principles is also required.
Python Developer, Didcot, Oxfordshire. 6 months+. Remote/Hybrid role. £375 - £450 per day, Outside IR35 Our client are a very exciting and pioneering engineering business, that are designing and developing world leading detection and monitoring devices. They are seeking a Full Stack Software Engineer to help drive the development of new features and improve platform capabilities across a cloud-based digital architecture. You’ll work across the stack—from intuitive front-end interfaces to robust backend services—enabling live emissions monitoring and data analytics. This role is ideal for an engineer excited to contribute to a mission-critical platform that supports environmental sustainability. Responsibilities:
  • Design, develop, and deploy new features across front-end (React/Next.js) and back-end (Django, Python) systems.
  • Improve system scalability, performance, and resilience within a Kubernetes-based cloud environment.
  • Collaborate with data scientists and DevOps engineers to implement algorithms and integrate third-party services (e.g., DroneDeploy).
  • Develop and manage PostgreSQL-backed data layers and Azure-based file/media storage systems.
  • Build and maintain async workflows using Redis, Prefect, and task queues.
  • Contribute to architecture decisions and CI/CD processes for feature delivery and monitoring.
Requirements:
  • Proficiency in Python (Django) and JavaScript/React (or similar frontend framework).
  • Experience with REST APIs, NGINX, and PostgreSQL.
  • Familiarity with Kubernetes, Redis, cloud platforms (preferably Microsoft Azure), and containerized deployments.
  • Understanding of asynchronous task systems (e.g., Celery or Prefect).
  • Strong grasp of software architecture principles and performance optimization.
Desirable skills:
  • Experience with IoT data systems.
  • Prior work with GIS/mapping interfaces or real-time dashboards.
  • Background in environmental tech or industrial monitoring platforms
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time. MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.