Geospatial Data Engineer

About this role: McKenzie Intelligence Services (MIS) We're a rapidly expanding SaaS company specializing in intelligence on natural catastrophes for quick response in human aid situations. We can evaluate the terrible impact of catastrophic events almost immediately after they happen. Since we launched our GEO platform three years ago, we have assisted our clients in processing claims at record speed and swiftly transferring funds to those in need during challenging times. We are searching for a Geospatial Data Engineer who excels at the intersection of Data and Geospatial expertise. With a sharp eye for satellite imagery, a comprehensive knowledge of geospatial subtleties, and the ability to use Machine Learning for data processing, you are the rock star we're searching for. Our Mission: We aim to transform the insurance industry's natural disaster claims processing time and deliver funds to those in difficulty by utilizing an exciting combination of satellites, drones, machine learning, and human-led analysis. Our values are: Innovative - Innovation is central to everything we do. We push the boundaries of the possible to generate meaning and value. Trusted - We offer clarity during confusion and can be relied upon to deliver when our clients, our partners, and our team need it most. Collaborative - We work together, we cooperate, we share knowledge. We support each other, our clients, our partners. This is what you should expect if you hit 'apply': Phone call with our Talent team 1st interview with our Head of Technology 2nd interview with a senior manager Final interview with the broader technical team Responsibilities You will develop end-to-end solutions and prototypes for geospatial intelligence applications using Agile methodologies. Investigate and implement new sources of data for more accurate disaster planning scenarios Develop the current geospatial searching needs to cater to more robust data ingestion and geo-query analysis Work together with cross-functional teams including Engineering, Intelligence, and Product Improve MIS's existing systems and architecture for handling large and complex datasets Create and maintain data documentation and procedures Keep up-to-date with the latest geospatial technologies and industry trends Requirements MSc or PhD in Computer Science, Geography, Remote Sensing, or related field. Proficiency in Python and experience using its related geospatial libraries (e.g., GeoPandas, shapely, rasterio, gdal). Advanced skills in Geo Spatial Data tools such as GIS, PostGIS, ArcGIS, etc. Proven ability to create and maintain data processing pipelines. Commercial experience working in the cloud, ideally in Azure Excellent analytical and problem-solving skills with a detail-oriented attitude. Benefits £50-65k, depending on experience Remote role with several days in the office (primarily in London) 25 days of annual leave (where 3 during Christmas stand down) + UK bank holidays Wednesday Lunch Club allowance Extended maternity/paternity policy Sick pay beyond SSP Regular team socials Employee option scheme (subject to approval and qualifying period)