The Role
Develop and operate features for Aurora’s Origin energy forecasting model. Responsibilities include requirements analysis, design, Python implementation, automated testing, deployment, live operation, code review, estimation, and software best-practice improvement. The role involves maintaining scalable, robust software running in Docker on AWS, using AI-assisted engineering tools, supporting teammates, and translating complex power-market concepts into practical model functionality.
Summary Generated by Built In
The Origin Model sits at the centre of Aurora's forecasting capability, allowing Aurora to help governments, investors, and utilities make billion-dollar decisions on the journey to net zero. It forecasts power prices, generation, capacity expansion, and investment across more than 20 electricity markets worldwide, translating complex energy system dynamics into robust, scalable software that underpins our market outlooks, client insights, and software platforms. The Origin model is a substantial Python codebase, with optimisation components written in GAMS and solved using MOSEK. Prior experience with mathematical optimisation is not required. Models are executed on Docker containers supported by an AWS-based infrastructure.
You'll join one of the squads in the Origin Model Development team, a squad of 4–7 engineers working alongside a product representative. You'll own features from requirements through adoption to production. Much of the work is about making complex model concepts easier to understand and finding the core set of functionality that meets the needs of diverse power markets in a scalable way. We use AI tooling across the development process not just for writing code, and you'll help us find where it genuinely adds value.
Aurora takes the work seriously. We do not take ourselves too seriously. The team that operates well is one where people are direct, admit mistakes, and enjoy the work. The person in this role will help maintain this culture.
Key Responsibilities
- Own features and components end-to-end: requirements, design, implementation, testing, deployment, and live operation. You operate what you build, not just ship it.
- Break down and estimate your own work accurately, and deliver to those estimates reliably. Deliver in increments so value is visible early and feedback arrives continuously.
- Review others' code regularly, giving substantive, constructive feedback that helps the author improve, not just catching bugs.
- Identifying and championing best practices and processes for software development.
- Write maintainable, robust code. Favour simple solutions over complex ones, and treat operational requirements (logging, scalability, security) as part of the design, not an afterthought.
- Use AI tooling to write, review, test, and analyse code, and help shape how the team applies it.
- Actively support others in the squad, both junior engineers and those with varied backgrounds. You don't need to be their line manager to make a difference to their development.
Skills, Knowledge and Expertise
Required attributes:
- 2–4 years of professional software engineering experience, with a track record of independently owning production software.
- Strong fundamentals in testing, clean module design, and maintainable code. Python is the primary language of the codebase.
- You write automated tests as a normal part of your work.
- A track record of code review, giving and receiving constructive technical feedback.
- Comfortable breaking down and estimating work independently; you deliver reliably.
- You think about the "why" before the "how", and you understand what value your work provides to the business and the user.
- Collaborative. You actively work with and support the people around you, and help the squad achieve meaningful goals.
Desirable attributes:
- Familiarity with agile delivery in squad-based teams.
- Hands-on experience with AI-assisted engineering, and a view on where it adds value.
- Experience with scientific computing, data pipelines, platform engineering, or domain-specific software (energy, finance, or similar).
- Knowledge of mathematical optimisation, such as LP or MIP, from energy systems, operations research, quantitative finance, or a similar field.
What we offer
Some of the benefits we include are:
- Private Medical Insurance
- Dental Insurance
- Parental Support
- Salary-Exchange Pension
- Employee Assistance Programme (EAP)
- Local Oxford Discounts
- Cycle-to-work Scheme
- Flu Jabs
At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.
The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.
To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
About
From its academic roots, Aurora Energy Research is a thriving, rapidly growing company, currently serving over 1000 of the world’s most influential energy sector participants, including utilities, investors, and governments. While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, South Africa and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a diverse team of experts with vast energy, financial, and consulting backgrounds, covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven intelligence to fuel strategic decisions in the global energy transformation.
Skills Required
- 2-4 years of professional software engineering experience
- Professional experience independently owning production software
- Strong software engineering fundamentals, including testing, clean module design, and maintainable code
- Python programming experience
- Experience writing automated tests
- Experience conducting code reviews and giving and receiving constructive technical feedback
- Ability to break down and estimate work independently and deliver reliably
- Collaborative approach and willingness to support colleagues
- Familiarity with agile delivery in squad-based teams
- Hands-on experience with AI-assisted engineering
- Experience with scientific computing, data pipelines, platform engineering, or domain-specific software
- Knowledge of mathematical optimization, such as linear programming or mixed-integer programming
Aurora Energy Research Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aurora Energy Research and has not been reviewed or approved by Aurora Energy Research.
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Healthcare Strength — Healthcare in certain offices is described as comprehensive, including core medical coverage with vision and dental. Feedback suggests supportive health resources are accessible alongside standard coverage.
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Leave & Time Off Breadth — Time off is portrayed as generous in some locations, with standard PTO supplemented by additional company-wide holidays. Parental leave policies are also described as robust in certain markets.
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Wellbeing & Lifestyle Benefits — Wellbeing support is highlighted through a 24/7 assistance programme and locally tailored perk platforms. Feedback suggests these offerings complement core benefits and support everyday needs.
Aurora Energy Research Insights
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The Company
What We Do
From its academic roots, Aurora Energy Research has grown to become the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of over 350 experts with vast energy, financial and consulting backgrounds, covering power, hydrogen, carbon and fossil commodities. We are active in Europe, APAC and the US, working with world-leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software.
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