Backend Engineer

As Backend Engineer, you will collaborate closely with data scientists on data analysis and process refinement to ensure effective data management. The contract is for 2 months, starting asap, and working hybrid from our London HQ.

Buildings data refresh via ETL:

• Lead extraction, processing, and deduplication of building data for 70 countries across APAC, NA, & Europe, collaborating with data scientists.


• Analyse post-deduplication data coverage against ONEGEO, categorising countries and identifying exceptions with the data science team.


• Address data quality issues, manage missing data for USA and Canada, and ensure data integrity with data scientists.


• Develop quality control scripts to maintain data integrity post-extraction, aligning with data science methodologies.


• Contribute to creating comprehensive documentation and explore additional data sources to enhance dataset quality and coverage with the data science team.


• Actively participate in validation and benchmarking to assess data accuracy and reliability, contributing to iterative improvements.


Carta development, building out features and some limited data engineering work:

• Contribute to developing features for Carta, enhancing functionalities for inputting company names, LEI IDs, and country information, and improving user interface usability, in collaboration with data scientists where necessary.


• Assist in sourcing company addresses using a combination of external APIs, web scraping, and prepackaged NLP techniques, collaborating closely with data scientists.


• Support geocoding of collected addresses using Google Maps API to ensure precision in plotting on a map, aligning efforts with data science team.


• Implement address validation techniques such as clustering to categorise addresses into priority matches, ensuring data accuracy, in collaboration with data scientists.


• Engage in limited data engineering tasks, including optimizing data pipelines, managing data storage, and implementing data processing algorithms for large datasets, alongside feature development and in coordination with data scientists.
  
  Proficiency in ETL processes, particularly in extraction, processing, and deduplication of data.


• Experience with data quality control, including managing missing data, data integrity assurance, and quality control scripting.


• Strong analytical skills to work on data categorisation and identification of exceptions in collaboration with data scientists.


• Ability to develop and enhance features for web applications, including integration with external APIs and NLP techniques.


• Familiarity with address validation techniques and geocoding using tools like Google Maps API.


• Capable of contributing to comprehensive documentation and iterative improvements through validation and benchmarking processes.


• Technical knowledge in data pipeline optimization, data storage management, and large dataset processing algorithms.
  
  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.