Senior Software Engineer, Python

• 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