It’s an exciting time to join Cervest. Our inaugural product, EarthScanTM, will launch in 2021. EarthScanTM is an automated climate risk impact discovery tool that measures the impact of climate change on physical assets like buildings.
Backed by leading VCs in Europe and the US, Cervest is a climate tech company building the world’s first open access AI-powered Climate Intelligence platform.
Our platform will allow organisations to understand the climate risk across all their assets for any timescale and any scenario, anywhere on Earth. Data engineering plays a crucial role in making this vision a reality. The team supports the acquisition, ingestion, processing and hosting of any data and designs, and delivers infrastructure to support efficiency and innovation at scale.
As a company, we are a pro-diversity, highly inclusive organisation, committed to bringing together people of all backgrounds and enabling them to succeed. We know that a richly diverse team will help us achieve our mission sooner.
We are looking for a Data Engineer with experience of working with large scale, distributed computing to join the team, and help us develop our data platform. The role offers a unique opportunity to join an exciting, early-stage, highly mission-driven team where you’ll have the ability to make a significant impact on our company and our users.
Opportunities to learn, grow and thrive with support from talented and empathetic team mates
We are a remote first company and looking for candidates who would be able to come to our office in London (once travel is sensible) a few times a year using more sustainable transport methods (we’ll help with that) so generally within one time zone of the UK.
Fuller list of benefits on our main career page – we’re an early stage startup and currently reviewing our benefits in light of becoming a remote-first company. We are committed to ensuring that we support our team in developing in line with their aspirations and talents as well as continuing to develop our culture in line with our values.