
Modelling Software Engineer
Aurora Energy Re3 months ago
São Paulo, BrazilMid Level / Senior
Responsibilities
- Own medium-complexity features and components from design and implementation through testing and production operation.
- Break down and estimate work independently, delivering incrementally for early feedback.
- Conduct substantive code reviews and provide constructive technical feedback.
- Contribute solutions to technical discussions within the squad.
- Support junior engineers and colleagues in technical and non-technical areas.
- Collaborate as a full peer across São Paulo and Oxford, including shared ceremonies and written decision-making.
Requirements
- 2–4 years of professional software engineering experience with independent ownership of production software.
- Strong Python engineering skills.
- Experience conducting code reviews and providing constructive technical feedback.
- Ability to break down and estimate work independently and deliver reliably.
- Ability to connect technical decisions to business outcomes.
- Collaborative approach with a record of supporting colleagues.
- Meaningful practical experience using AI-assisted engineering tools across the development workflow.
- Full professional fluency in written and spoken English and Portuguese.
- Desirable: experience with scientific computing, numerical methods, energy, finance, or similar domain-specific software.
- Desirable: familiarity with squad-based delivery, energy markets or power systems, and distributed or cross-office teams.
Benefits
- Fun, informal, and international work culture.
- Competitive salary package.
- Regular coaching and mentoring sessions.
- Access to the Aurora Academy training programme.
- Start as soon as possible; applications are reviewed as received.
About Aurora Energy Re
Aurora Energy Research provides power market forecasting, analytics, and data to utilities, investors, developers, and policymakers via subscription platforms, software (including the Chronos storage valuation platform), and advisory services. It also offers programmatic access and APIs to embed forecasts, dispatch models, and insights into client workflows. Founded in 2013 and headquartered in Oxford, the company operates globally and is part of TPG.