Location | Tokyo, JP |
Commitment | Full-time |
Role | Data |
Remote | 🏢🌴Hybrid |
First listed | In the last 2 months |
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Job Description
The energy industry is undergoing the largest transformation since industrialisation at an unprecedented rate of change and we are positioning ourselves to be at the heart of that change.
Our aim is to be the leading global provider of solutions that enable customers to release £30bn of value per annum from distributed energy resources (DERs). We are building a Software as a Service (SaaS) subscription business with a global addressable market of £2.4 billion per annum, by digitally connecting hundreds of thousands of DERs with energy markets.
We have already attained a market leading position and KrakenFlex is a recognised thought leader and innovator in the industry. Our efforts have not gone unnoticed and we are pleased to announce that we now have the full support and backing of Octopus Energy, an award-winning UK energy supplier who share our passion and values.
As we enter the stage of rapid commercialisation and customer account growth, we have a number of exciting new offerings to launch to customers. We’re looking for an exceptional person to help us continuously deliver features that provide value to our customers. Our ideal engineer would be an individual who loves to engage with interesting software problems, with an interest in data related development and the passion to build and shape the future within a collaborative, community-based environment. We operate a highly agile development approach, giving wide scope to be involved with hands-on system-design, test driven development, deployment and operations.
Our data sources and problems are many and varied. We have some simple but high throughput data sources (e.g. over 4,000,000,000 rows a day and growing rapidly), complex unstructured and semi structured data and complex application data from our various microservices.
Our aim is to allow our business and our customers to answer increasingly complex questions, and gain new insights, based on our data, additional external data, and things we can learn and models we can extract from our data.
Octopus Energy number of job openings over time by month
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