Modelling Software Engineer

Aurora Energy Research

. Own features and components end-to-end, including requirements, design, implementation, testing, deployment, and live operation .

Posted 10/13/2026full-timeOxford • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming, automated testing, and code review, while effectively collaborating with team members to deliver scalable software solutions. Proficient in applying AI tooling and understanding business value within the context of software engineering.

Highest-signal resume keywords

Python ProficiencyAutomated Testing ExperienceCode Review ExperienceAI-Assisted EngineeringScientific Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringClean Module DesignMaintainable CodeMathematical OptimisationData PipelinesPlatform EngineeringAgile DeliveryFeature OwnershipTesting FundamentalsLogging and Security

Soft Skills

Collaborative ApproachConstructive FeedbackSupport for Junior EngineersIndependent Work EstimationUnderstanding of Business Value

Tools & Technologies

AI Tooling

Industry Keywords

EnergyFinanceElectricity Markets

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own features and components end-to-end, including requirements, design, implementation, testing, deployment, and live operation
Work on the Origin Model, Aurora’s forecasting capability for power prices, generation, capacity expansion, and investment across more than 20 electricity markets
Make complex model concepts easier to understand and identify scalable functionality for diverse power markets
Break down and estimate work accurately, delivering incrementally for early feedback
Review colleagues’ code and provide substantive, constructive feedback
Identify and champion software development best practices and processes
Write maintainable, robust code with attention to logging, scalability, and security
Use AI tooling to write, review, test, and analyse code, and help shape its application within the team
Support junior engineers and colleagues with varied backgrounds

Requirements

What you’ll need

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 proficiency; Python is the primary language of the codebase
Automated testing experience
Code review experience, including giving and receiving constructive technical feedback
Ability to break down and estimate work independently and deliver reliably
Understanding of business and user value
Collaborative approach and ability to support colleagues
Familiarity with agile delivery in squad-based teams (desirable)
Hands-on experience with AI-assisted engineering (desirable)
Experience with scientific computing, data pipelines, platform engineering, or domain-specific software such as energy or finance (desirable)
Knowledge of mathematical optimisation, such as LP or MIP (desirable)

Benefits

Comp & perks

Private Medical Insurance
Dental Insurance
Parental Support
Salary-Exchange Pension
Employee Assistance Programme (EAP)
Local Oxford Discounts
Cycle-to-work Scheme
Flu Jabs
Hybrid working with a mix of in-office/home working
Potentially adjustable working hours