What We Offer:

• A competitive Salary of between £35,000 - £45,000 depending on experience.
• Comprehensive Benefits including Private pension matching, Bupa dental cover, Salary Sacrifice schemes (EV, Cycle scheme), holiday trading, education & development reimbursement, enhanced maternity & paternity pay, EAP, and retail discount perks
• Flexibility: Supportive working environment with 60% remote typical.
• Impact: A collaborative role where you'll contribute directly to our core technology stack.
• You'll work on meaningful engineering projects, solve technical challenges alongside the team, and help improve our existing codebase while growing your skills in an agile, supportive environment.

Required Skills & Experience of the Software Engineer:

• Strong Python: Writing and maintaining data pipelines.
• Able to solve complex problems.
• Excellent written, oral and visual communication skills to explain complex information.
• Enjoys and works well in a team-based environment, and is self-motivated to individually succeed.
• Understands and implements best practices of modern Software Engineering including Agile
• Software Development, Automated Testing, Configuration Management principles and DevOps.
• Has the rigour and care to manage and control changes to development, testing and production environments.

Desirable skills & experience:

• C# / .NET: experience building libraries and command-line tools with .NET 8.0+.
• Comfortable reading and safely modifying existing/legacy codebases; good documentation and PR practices.
• SQL Databases: PostgreSQL and SQLite experience (schema design, migrations, basicperformance tuning).
• Orchestration & data engineering: experience with workflow/orchestration tools (Prefect or similar) and distributed task queuing (e.g. Celery, RabbitMQ).
• Testing & automation: writing unit and basic integration tests as well as automating test runs as part of CI pipelines e.g. GitHub Actions.
• AI-assisted development: comfortable using AI-assisted tools (e.g., GitHub Copilot) to increase productivity, while validating and testing any AI-generated code and understanding its limitations.
• Experience building or maintaining REST APIs, microservices, event-driven services, and message-driven patterns.
• Containerisation: experience using Docker and deploying containerised applications

Nice to have:

• GIS & point-cloud processing: GDAL/PDAL, GeoPandas, Open3D, LAS/LAZ/Raster/Vectorhandling, spatial transforms and analysis.
• TypeScript/JavaScript for developing front-end dashboards and user interfaces.
• Packaging & distribution: familiarity with publishing and versioning packages (NuGet and/or PyPI).