Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We’re a technology company focused on creating a smart, sustainable energy system. From optimising 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. In Japan we are growing fast. You will work with every business team and across the whole data lifecycle. Your focus will be on building out data pipelines, reports and dashboards that serve our ops, sales, marketing and finance teams. You’ll need to ensure our analyses are robust - making sure the right questions are being asked and that the business decisions we take are truly supported by the data.We’re proud of our science & analytics platform, and you’ll work to make sure that it is well engineered, understandable, and accessible to non-specialists as its capabilities grow. You’ll become a domain expert, supporting management’s questions and powering our continued growth.
What you'll need
You don’t need prior energy supplier experience (we will teach you that). We’re looking for someone with the following qualities:
Passionate about working in energy and contributing to the energy transition
High level language skills in English, ability to speak Japanese would be a plus
Curious and self driven - it is essential you have the initiative to make decisions yourself, and can find novel solutions to problems without lots of help and support
Highly data literate and numerate - can make sense of lots of data and shape it into a coherent story
Learns fast and is enthusiastic about learning new technologies
Has an engineering mindset - passionate about building robust tools, and has experience with some of the below:
Python for preprocessing & modelling of data, and engineering data pipelines
Writing queries in SQL
Building reports and dashboards in a BI tool
A/B testing and causal inference
Our data stack
We run a modern cloud data platform made up of the below components:
AWS cloud infrastructure
Databricks for data warehouse storage and querying
dbt for data modelling and transformations
Spark for large data processing
Python data ecosystem as main scripting and analytics language
Jupyter for adhoc analytics
Airflow for task scheduling
Kubernetes for data services and task orchestration
Github, Circle CI, Grafana and Prometheus for version control, deployment and monitoring
Streamlit, Databricks Dashboards and Tableau as our BI tool front ends
If this sounds like you then we'd love to hear from you. Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
