Geospatial Data Engineer
Posted 4 days ago by Bright Purple
£65 Per hour
Outside
Remote
England, United Kingdom
Summary: The Geospatial Data Engineer role is a contract position focused on addressing advanced data challenges within a leading environmental risk consultancy. The position involves developing ETL and CI/CD pipelines, managing data storage in AWS, and enhancing data automation and efficiency. The role requires expertise in both spatial and tabular datasets, particularly within a cloud computing environment. This opportunity is deemed outside IR35, pending assessment, and offers a competitive daily rate.
Key Responsibilities:
- Developing ETL pipelines for Raster, Vector, and Tabular data
- Configuring CI/CD pipelines
- Managing data storage within an AWS environment
- Improving data automation, workflow, and efficiency
- Developing Python-based ML pipelines
Key Skills:
- 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 with frameworks like Metaflow, Prefect, etc.
- Experience with geospatial libraries (i.e., Raster, Geo-pandas, Vector databases)
Salary (Rate): £65.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Geospatial Data Engineer - Contract Remote UK £400-£410 per day 12 Months Initially with Excellent Chance of Extension 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 both spatial and tabular data sets.
In this role, you will be:
- Developing ETL pipelines - Raster, Vector, Tabular data
- Configuring CI/CD pipelines
- Managing data storage within an AWS environment
- Improving data automation, workflow and efficiency
- Developing Python based ML pipelines
K ey 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.