Geospatial Engineer

Bright Purple; United Kingdom; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading environmental risk consultancy is looking for a Contract Geospatial Data professional for the entirety of 2026 into 2027. You will work with a team of data engineers in an AWS environment, focusing on data workflow, automation, and developing ML pipelines. Ideal candidates will have strong Python skills and experience in geospatial domains, with knowledge of cloud computing preferred. This contract role is deemed outside IR35, offering an exciting opportunity to tackle cutting edge data challenges.

Qualifications

• Experience with managing data storage within an AWS environment.
• Good knowledge of geospatial libraries like Raster and Vector databases.
• Experience in developing Python based ML pipelines.

Responsibilities

• Manage data storage within an AWS environment.
• Improve data automation, workflow and efficiency.
• Develop Python based ML pipelines.

Skills

Python programming

Cloud computing (ideally AWS)

Geospatial experience

Machine Learning (sci-kit learn, tensorflow, MLOps)

Tools

AWS

Metaflow

Geo-pandas

Job description

12 Months - the entirety of 2026 into 2027

Deemed Outside IR35 (pending QDOS assessment)

This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple's impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies.

You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment and must have experience of RASTER data sets.

In this role, you will be:

• Managing data storage within an AWS environment
• Improving data automation, workflow and efficiency
• Developing Python based ML pipelines

Key skills for this role include:

• Good knowledge of Python programming
• Experience in cloud computing (ideally AWS)
• Strong experience across industries in both Geospatial and non-Geospatial domains
• Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps)

Preferred Experience:

• Experience with frameworks like Metaflow, Prefect, etc.
• Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.