GIS Data Engineer [Contract]

  • Climate X
  • London, UK
  • 23/05/2024
Full time Data Engineering Business Intelligence Software Engineering DevOps

Job Description

About Us

Climate X is a purpose-driven climate adaptation data company set to revolutionise how the world manages assets, property, and infrastructure.

We apply cutting-edge, peer-reviewed science to help prevent the worst impacts of climate change. We combine climate projections, remote sensing observations, and modelling to project the frequency and severity of physical climate risks such as floods, subsidence, storms, etc.

Our SaaS platform lets financial institutions and real estate firms look at future climate pathways to:

  • help identify how property/company assets could be damaged by severe weather events and
  • what that damage might do to the asset valuations.
  • become more resilient to climate change and make smarter investment and lending decisions.

We advocate diversity with our founders, team, and investors from various backgrounds.
We’re not building just a team but a place of innovation where problem solving, and fun coexist to address the most significant challenge our society is facing now.

The impact you’ll own

This will be a 2 month contract, starting asap, based hybrid from our London HQ.

Big / Large buildings facilitation work:

  • Resolve technical issues related to returning alternating lat lines and ensure smooth data retrieval from spatial service, focusing on system refinement for accurate risk assessments.
  • Implement proof-of-concept masking solution to accurately assess risk levels, determining optimal masking approach within spatial service or during data import.
  • Develop efficient methods for rasterizing building polygons to enhance data processing speed and accuracy, contributing to system refinement.
  • Enhance process of reading polygon pixels from chunked GeoTIFFs to ensure fast and reliable data access, optimizing data retrieval mechanisms.
  • Evaluate technical aspects such as nodata values, caching strategies, and infrastructure optimization to streamline system performance and improve efficiency.

Extra Asset Types:

  • The work is to expand the ETL pipeline, including potentially new data sources, to allow us to increase the number of asset types we support on our buildings database. Some software engineering, some data pipelining.

Business Disruption module support:

  • Business disruption aims to go a step further than our loss impact on single assets and assess how much of the operational network around that asset is going to get affected by certain climate scenarios. The contractor would be:
  • Implementing functionality for handling input files and command-line arguments.
  • Developing scripts for retrieving raster files from S3 and loading them into memory.
  • Assisting in using osmnx library to retrieve network data from OpenStreetMap.
  • Developing algorithms for processing raster and network data efficiently.
  • Assisting in calculating disruption probabilities for each asset based on hazard severity.
  • Optimizing data processing pipelines for handling large datasets.
  • Providing support in handling spatial data, including raster manipulation and spatial querying.
  • Assisting in geocoding and spatial analysis processes to ensure accuracy.
  • Collaborating with the main GIS developer on geospatial operations.
  • Documenting the methodology and codebase for the module.
  • Identifying areas for improvement in functionality and performance.
  • Collaborating with the main GIS developer to integrate the module into the system architecture.

Essential Skills

  • Experience in handling and processing spatial data, including resolving technical issues and implementing masking solutions for risk assessment.
  • Skills in rasterizing building polygons, reading polygon pixels from GeoTIFFs, and optimizing data retrieval mechanisms.
  • Ability to evaluate and implement system improvements such as caching strategies and infrastructure optimization.
  • Familiarity with ETL expansion to include new data sources and support for various asset types.
  • Proficiency in scripting for data retrieval, loading, and processing, with a focus on handling spatial data.
  • Experience using GIS tools and libraries such as osmnx and managing data from OpenStreetMap.
  • Capable of developing and optimizing data processing algorithms, particularly in handling large datasets and spatial querying.
  • Strong documentation skills and the ability to collaborate effectively with GIS developers to integrate new functionalities into existing systems.

Equal Opportunities

Climate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.