.Help us use technology to make a big green dent in the universe! We're a technology company focused on creating a smart, sustainable energy system. From optimizing renewable generation, creating a more intelligent grid, and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.It's a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future. At Kraken, we build the most AI-driven, innovative, forward-thinking platform for energy management.From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry.About our team: At Kraken, we've developed a data platform that is used by Octopus Energy and our other clients' retail energy businesses around the world. The platform empowers users with self-service data analytics and automates our data processing workflows, from simple ETL jobs to ML training and prediction.The data platform team works across the whole customer domain on anything from natural language understanding of our customer communications to processing billions of smart meter readings every day to support clients in creating customized and market-leading smart energy tariffs.As the volume, scope, and geographical range of our data offerings rapidly expand, we're looking for an experienced data engineer to join the team to help us build and maintain our platform, pipelines, and data sources.What you'll do:Build new data sources and data pipelines that deliver key data and insights to the business.Work closely with the data science and analytics teams to maintain and develop our central data models in dbt.Build and maintain testing and documentation frameworks for our data sources.Work with the business to scope and deliver new data engineering projects and requirements.Maintain and build on our existing data infrastructure and tools.Support the internationalization of our data infrastructure as we continue to grow globally.What you'll have:First and foremost, we want our data engineers to be great software engineers with a passion for writing high-quality code. It would be helpful to have experience/expertise in the following (in rough priority order):PythonSparkExperience modeling data for analytics - ideally experience using dbt as a modeling tool.Experience in assuring data quality.Experience deploying data services in a cloud environment (ideally AWS).The projects will be varied, and we're looking for someone who can work autonomously and proactively to scope problems and deliver pragmatic solutions.We would prefer someone who can work in our London office but will consider remote candidates (warning: the bar is much higher)