We are Building Atlas. Our vision is a fully sustainable commercial real estate sector. Our mission is to make this a reality through rapidly scaling building retrofits: the most sustainable building is the one that already exists. With a zero-touch approach, requiring nothing but the addresses of buildings, we help owners of commercial real estate portfolios: (1) find the best path to retrofitting their buildings; (2) avoid stranding risk and increase the value of their assets; (3) and get access to preferential financing and delivery partners to get the work done.
Our goal is to get as many buildings as possible retrofitted, so we recommend retrofit measures that bring the highest return on investment. Choosing the right building to focus on requires understanding its physics (building envelope and the energy systems), its current lease terms and use, its current value and future “green premium,” and the value of energy flexibility in a future grid. We gather all this data and build machine learning models to find the optimum retrofits across a portfolio of buildings.
To make this possible, we’re building a diverse team of people passionate about solving climate change in the built environment. We’re a hybrid team, with office space in London and Edinburgh where we meet regularly.
As a Data Engineer at Building Atlas, your primary role will be managing the data ingestion and storage platform that allows us to train our models and advise our customers how best to move their properties to being fully sustainable. Your work will involve the ingestion of countrywide data on buildings and the physical environment, then cleaning and transforming this to make it trustworthy and easy to use. As we’re a small team, you will also be a flexible individual and will contribute to other technology areas, handling both the data engineering and broader software development tasks effectively.
As a Data Engineer at Building Atlas, your primary role will be managing the data ingestion and storage platform that allows us to train our models and advise our customers how best to move their properties to being fully sustainable. Your work will involve the ingestion of countrywide data on buildings and the physical environment, then cleaning and transforming this to make it trustworthy and easy to use. As we’re a small team, you will also be a flexible individual and will contribute to other technology areas, handling both the data engineering and broader software development tasks effectively.
Key responsibilities:
To be able to contribute flexibly to our organisation, having experience in one of the following would be highly desirable:
Additionally, it would be advantageous (but not essential) if you have experience with geographic or urban datasets.