• Lead the design, development, testing, and delivery of scientific and engineering software


• Work with engineers and analysts to turn technical methods and business needs into clear requirements and dependable software


• Make pragmatic architectural decisions balancing current delivery with long-term maintainability


• Establish and embed standards for development, testing, documentation, version control, code review, continuous integration, and releases


• Ensure scientific calculations and results are reproducible, traceable, and verified


• Document the software, share knowledge, and provide a structured handover to its long-term owner


• Contribute to other scientific and engineering software projects where required

Requirements

• Professional software development experience, typically four or more years, with evidence of leading delivery of non-trivial software


• Advanced Python skills and strong judgement in software architecture, modularity, error handling, and maintainable Python interfaces


• Experience designing, building, testing, packaging, and releasing reusable Python libraries or applications


• Experience establishing engineering practices including automated testing, code review, documentation, dependency management, continuous integration, and Git version control


• Experience with numerical, scientific, engineering, or data-intensive software, including verification of calculations and edge cases


• Ability to understand unfamiliar methods, identify ambiguity, and define precise, testable behaviour with subject-matter experts


• Working knowledge of SQL, including queries to retrieve, filter, join, and aggregate data


• Pragmatic technical leadership and ability to set direction while delivering working software


• Strong written and verbal communication, technical documentation, knowledge sharing, and software handover experience


• Ability to become productive quickly, work independently, and deliver within a time-limited engagement


• Degree or equivalent experience in computer science, engineering, mathematics, physics, or another quantitative discipline is desirable, not required


• Desirable experience with NumPy, SciPy, pandas or Polars, Pydantic, Plotly, or equivalent technologies


• Desirable experience with time-series or sensor data, data validation, numerical optimisation, simulation, statistics, or uncertainty analysis


• Familiarity with typed Python, developer and user documentation, linting and formatting tools, and modern Python project tooling


• Experience verifying scientific software against analytical, experimental, or independently produced reference results


• Experience taking ownership of an early-stage codebase and preparing it for continued development


• Experience in an engineering-led or renewable-energy business


• Experience handling commercially sensitive or customer-supplied technical data

Core Competencies

Demonstrates advanced Python programming skills and a strong understanding of software architecture, ensuring the development of maintainable and reusable software solutions. Capable of leading technical projects, establishing engineering practices, and effectively communicating complex technical concepts.

Highest-signal resume keywords

• Advanced Python Skills


• Software Architecture Expertise


• Automated Testing and Continuous Integration


• Technical Leadership


• SQL Proficiency

ATS Optimization Keywords

Hard Skills

• Software Development


• Python Programming


• Numerical Software Engineering


• Reusable Library Development


• Automated Testing


• Code Review


• Version Control


• Data Validation


• Scientific Calculation Verification


• Dependency Management

Soft Skills

• Strong Communication


• Knowledge Sharing


• Independent Work


• Problem-Solving

Industry Keywords

• Engineering Software


• Scientific Software


• Data-Intensive Software


• Renewable Energy


• Commercially Sensitive Data

Tools & Technologies

• Git


• NumPy


• SciPy


• Pandas


• Pydantic


• Plotly


• Typed Python


• Linting Tools


• Modern Python Project Tooling