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.
Kraken Utilities
Our tech platform ‘Kraken’ is already licensed to support 55 million customer accounts globally, and we aim to serve 100 million by 2027. Kraken is the most AI-driven, innovative, forward-thinking platform for energy management. From optimising resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications.
We’re now charging the Kraken platform to other utility industries (Water and Broadband) and have created a new team called - Kraken Utilities. Over the last 3 years we have built this team from scratch to re-architect, design, and develop our Kraken software platform to solve complex industry wide problems within the water and broadband sectors (such as customer experience & water leak detection).
The Kraken Utilities team is in a very exciting growth phase, and has already signed six key clients: Severn Trent, Leep, Portsmouth Water, Essential Energy, TalkTalk, and Cuckoo. We are currently 120+ people strong globally.
About The Team
You’ll join the KFU Data Analytics team (currently 6 people). This team builds the data foundations and insights behind Kraken Utilities, working closely with product teams and clients to shape how data is used across Telco. It’s a hands-on analytics engineering team with real ownership and impact.
The team works closely with:
- Product Managers in Telco
- Client delivery teamsData Engineering & Platform teams
- ML & AI teams (including client-facing AI initiatives)
Ways of working:
- Daily 15-minute stand-ups
- Weekly planning & periodic retros
- Async-first mindset (with a hybrid London setup)
- Strong PR culture with collaborative reviews
What You'll Do
- Build and maintain analytics data models using dbt, turning complex Kraken data into trusted, usable datasets
- Write advanced SQL every day to support data modelling, analysis, and real product and client questions
- Create dashboards and metrics that help Telco teams understand performance and make better decisions
- Align closely with Product Managers and Engineers to define metrics and shape insight
- Work directly with Kraken’s Telco clients, helping them navigate complex data models, answer real business questions, and represent Kraken confidently in data conversations
- Be part of a supportive client-support rota, handling incoming data questions with growing independence
- Collaborate in a Git-based workflow, contributing clean, well-reviewed code in a fast-moving team
What You'll Need
- Strong SQL skills, including complex queries and window functions
- Hands-on experience using dbt in a real production environment
- Experience building dashboards that are used by real stakeholders
- Familiarity with a modern data warehouse (Databricks, Snowflake, BigQuery, or similar)
- Confidence working with Git and collaborating through pull requests
- Ability to explain data clearly to non-technical stakeholders
Nice to haves
- Client-facing or stakeholder-heavy analytics experience
- Experience with Lightdash, Looker, Tableau, or Power BI
- Exposure to Telco, utilities, or complex data domains
Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!
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 Kraken, 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. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here.
Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
