Geospatial Data Engineer

TN United Kingdom; City of Edinburgh; On-site; GBP 60,000 - 80,000; Full time

Job summary

An innovative environmental risk consultancy is seeking a Geospatial Data Engineer to tackle cutting-edge data challenges. This exciting contract role involves developing robust data pipelines, managing data storage in AWS, and enhancing automation workflows. You'll work with a talented team of engineers and contribute to impactful projects using the latest technologies. If you're passionate about geospatial data and eager to make a difference in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking company that values diversity and inclusion, and be part of a team that drives significant change in the industry.

Qualifications

• Experience in developing robust data pipelines for big data sets.
• Strong knowledge of Python and cloud computing, particularly AWS.

Responsibilities

• Developing pipelines to process big RASTER data sets.
• Managing data storage and improving data automation within AWS.

Skills

Python programming

Cloud computing (AWS)

RASTER data

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

Geospatial knowledge

Tools

AWS

CI/CD pipelines

Geospatial libraries (Raster, Geo-pandas)

Job description

Geospatial Data Engineer - Contract
Hybrid - Bath (1 day a week on-site)
£400-£450 per day
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:

1. Developing robust pipelines to process big data sets (Raster experience essential)
2. Configuring CI/CD pipelines
3. Managing data storage within an AWS environment
4. Improving data automation, workflow and efficiency
5. Developing Python based ML pipelines

Key skills for this role include:

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

Preferred Experience:

1. Knowledge of Rust
2. Experience with frameworks like Metaflow, Prefect, etc.
3. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases

This role would see you work in their South West office c.1 - 2 days per week ideally. It is available immediately for an urgent start.

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.