Modelling Software Engineer

Aurora Energy Research; Oxford; Presencial; GBP 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private Medical Insurance

Dental Insurance

Parental Support

Salary-Exchange Pension

Employee Assistance Programme (EAP)

Local Oxford Discounts

Cycle-to-work Scheme

Flu Jabs

Resumo da oferta

Aurora Energy Research is hiring a Modelling Software Engineer in Oxford to join the Origin Model Development squad. You will own features end-to-end, design scalable software, and contribute to a Python-based forecasting platform used for government, investor, and utility insights.

The role emphasizes writing automated tests, code reviews, and delivering value through incremental progress. Hybrid work, with strong collaboration in a small, focused team, is offered.

Qualificações

• 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.
• You think about the "why" before the "how", and you understand value to business and user.

Responsabilidades

• Own features and components end-to-end: requirements, design, implementation, testing, deployment, and live operation.
• Break down and estimate your own work accurately, and deliver to those estimates reliably.
• Review others' code regularly, giving substantive, constructive feedback.
• Identify and champion best practices and processes for software development.
• Write maintainable, robust code with a focus on logging, scalability, and security.
• Use AI tooling to write, review, test, and analyse code and shape its use in the team.
• Actively support others in the squad, including junior engineers.

Conhecimentos

Python

Testing

Code Review

Independent Ownership

Agile Delivery

Ferramentas

Docker

MOSEK

GAMS

Descrição da oferta de emprego

Modelling Software Engineer

Department: Tech - Model & Platform Engineering

Employment Type: Permanent - Full Time

Location: Oxford, UK

Description

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.