[Hiring] Senior Python Engineer, Geospatial Data Platform @WLG

Role Description

Would you like to build the backend behind maritime geospatial analytics, from wherever you already live? This role sits with an international scientific and technology centre working on maritime research. The work is remote in full, on a cloud based collaboration platform, and it runs from the beginning of September to the end of December. You would design, build and operate the services and data pipelines that carry geospatial and temporal analytics across the platform:

• Production grade APIs and microservices
• A graph layer in Neo4j
• Data engineering and machine learning workflows on Databricks

It is hands on, and the ownership is real. You lead features end to end, from technical discovery and design through implementation, testing, deployment and runtime monitoring. You review code, mentor the people around you, contribute to architectural decisions, and say early when something is heading the wrong way.

What you will be doing:

• Designing and building production grade APIs and microservices in Python
• Modelling the domain with Domain Driven Design: bounded contexts, aggregates, repositories, domain services and a shared language everyone actually uses
• Integrating Neo4j for graph centred work, including Cypher query optimisation and graph data modelling
• Building data engineering and machine learning workflows on Databricks
• Working with geospatial and temporal data: spatial indexing, time series, geospatial standards and tools
• Keeping services reliable, fast and secure, and watching them once they are live

Qualifications

• Advanced Python: clean idiomatic code, virtual environments, packaging, type hints, async and await
• Production experience with FastAPI and async best practice
• Solid object oriented design and the common patterns: factory, strategy, repository, dependency injection
• Strong practical Domain Driven Design, including event driven domain modelling
• RESTful API design: resource modelling, versioning, error handling, pagination, OpenAPI
• Event driven systems: Kafka, MQTT or Azure Event Hubs, publish and subscribe, asynchronous task processing
• Strong SQL with PostgreSQL or SQL Server, and strong hands on experience with Neo4j
• Docker, a working understanding of Kubernetes, and comfort on the Linux command line
• Testing and CI/CD: pytest, TDD, and GitHub Actions, GitLab CI or Azure DevOps
• Secure coding: OWASP Top 10, OAuth 2.0, OpenID Connect and JWT
• Excellent written and spoken English in an international setting

Nice to have

• Microsoft Azure: Entra ID, Azure DevOps, Key Vault
• Structured logging, Prometheus or Grafana, and OpenTelemetry tracing

Benefits

• It is remote in full
• The domain is genuinely interesting rather than another internal CRUD application
• The ownership is real: you take features from discovery into production and you have a say in how the architecture goes

Apply with your CV and we will come back to you quickly.