Description
Factor is an API driven, AI powered retail data platform for global energy utilities. We use deep machine learning to help energy retailers accurately value the energy they sell: improving margins, unlocking more competitive customer products, and driving lower carbon emissions. We believe that great environmental outcomes come from smarter commercial models, and we earn our clients’ loyalty by helping them do good and do well.
Department: Factor
Employment Type: Permanent - Full Time
Location: London, UK
Your Key Responsibilities
- Build and ship backend features and services with a focus on elegance, scalability, performance, and resilience.
- Design and evolve Factor’s core data and application architecture (Typescript rust, AWS, etc).
- Solve complex, end to end problems across the stack, from data ingestion and transformation, complex algorithms, through to APIs and partner integrations.
- Contribute to engineering standards, peer reviews, and design discussions that raise the technical bar.
- Use AI and automation to accelerate development cycles, testing, and deployment.
- Help shape a culture of technical excellence, collaboration, and high ownership.
What We’re Looking For
- Proficiency in Node.js, Python, PostgreSQL, and modern cloud architecture (AWS, serverless).
- Track record of designing and maintaining clean, maintainable systems that handle complex data and business logic.
- Experience in the energy sector (or other data
- Comfortable working autonomously in a fast problems and proposing solutions. heavy, mission-- critical industries) is highly valued. moving startup environment; proactive in surfacing
- Thrives on responsibility and ownership, with a low
- ego, high collaboration style.
- Excited by the opportunity to apply your skills to one of the world’s biggest challenges: the energy transition.
What We Can Offer You
- Competitive salary
- Private medical insurance
- Life and income protection
- 24-days annual leave
- Enhanced parental leave
- Tailored learning and development opportunities
- Flexible working hours and remote-work opportunities
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