
501 - 1000 employees
Founded 2013
💼 Consulting
📦 Logistics
🏭 Manufacturing
💰 Private Equity Round on 2020-10
Consulting • Logistics • Manufacturing
Aurora Energy Research is a company based in Oxford that specializes in critical energy market analytics. They provide data-driven intelligence to clients for strategic planning, portfolio management, and investment decisions in the context of the global energy transformation. Their offerings include comprehensive market outlook packages, specialized software tools for assessing wind and battery projects, and bespoke advisory services. Aurora also hosts events and webinars aimed at fostering discussions on vital energy issues while delivering fresh insights through reports and podcasts.
🕒 August 6
🗣️🇧🇷🇵🇹 Portuguese Required
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501 - 1000 employees
Founded 2013
💼 Consulting
📦 Logistics
🏭 Manufacturing
💰 Private Equity Round on 2020-10
Consulting • Logistics • Manufacturing
Aurora Energy Research is a company based in Oxford that specializes in critical energy market analytics. They provide data-driven intelligence to clients for strategic planning, portfolio management, and investment decisions in the context of the global energy transformation. Their offerings include comprehensive market outlook packages, specialized software tools for assessing wind and battery projects, and bespoke advisory services. Aurora also hosts events and webinars aimed at fostering discussions on vital energy issues while delivering fresh insights through reports and podcasts.
• Lead a new cross-office squad within the Origin Model Development team across Oxford and São Paulo • Write and review production code hands-on alongside the squad • Co-design module boundaries and reusable interfaces with the senior technical authority • Deliver new features and progressively migrate the mature Python codebase into a modern architecture • Drive delivery through board health, sprint cadence, stand-ups, retrospectives, velocity tracking, and blocker removal • Allocate work across the squad rather than along geographic lines • Protect the daily Oxford–São Paulo overlap window and use async-first written decisions outside it • Line-manage São Paulo-based engineers, including 1:1s, performance reviews, and development feedback • Help build the São Paulo team from close to zero and participate in recruiting • Coordinate with peer squad leads to distribute work and avoid duplicated implementations • Design features that serve multiple regions without premature generalisation • Contribute to AI-assisted engineering agent workflows and tooling
• 5+ years of professional software engineering experience writing production code • Demonstrated technical leadership within a team • Strong Python engineering skills • Strong software engineering fundamentals, including clean module design and reusable interfaces • Judgment to decompose a complex codebase incrementally • Hands-on experience with modern Agile and Continuous Delivery practices • Direct communication skills and comfort working across organisational lines • Meaningful practical exposure to AI-assisted engineering across the development workflow • Full professional fluency in English and Portuguese, written and spoken • Experience leading or operating within a distributed or cross-office team (desirable) • Experience founding, launching, or being an early member of a new team, office, or company (desirable) • Strong expertise in energy system optimisation and numerical/mathematical optimisation, including LP or MIP (desirable) • Energy market or power systems domain knowledge (desirable) • Experience with GAMS and MOSEK optimisation solver • Deep expertise in energy system and numerical optimisation strongly preferred
• A fun, informal and international work culture • A competitive salary package • Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals • Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry • Hybrid model of remote and in-office working • Flexible start and finish times • Equal treatment and non-discrimination commitment
Apply Now🕒 August 6
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