Senior Analytics Engineer

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 create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. 🏠 Where you'll fit in: Kraken Distribution is building a native analytics capability to support our products, customer migrations and growing customer base. As our first Senior Analytics Engineer in Distribution, you will establish the data models, datasets and working practices that allow our teams and customers to generate trusted insights from Kraken data. You will be embedded within the Distribution team and work closely with Product, Engineering and Client Delivery Leads to understand customer needs and translate them into scalable analytics capabilities. You will report through the Distribution organisation, with a dotted-line relationship into Kraken’s central Analytics and Data Platform teams. This structure ensures that Distribution priorities drive your work while keeping you connected to Kraken’s wider data community, standards and technical direction. 🚀 What you’ll own: This is a senior, hands-on role with significant scope to shape how analytics is delivered across Kraken Distribution. You will develop a deep understanding of the global Kraken application data model and the Distribution domain, build curated data models and lightweight ingestion pipelines, and create the documentation and foundations required to support future reporting, analytics and advanced insights. Kraken Analytics will provide alignment on modelling standards and analytics architecture, while Data Platform will continue to own the foundational platform and shared data infrastructure. You will own Distribution-specific analytics models, datasets, ingestion workflows and data products, working closely with both teams to reuse and extend Kraken’s shared capabilities. Establish and shape the analytics engineering capability within Kraken Distribution to accelerate customer onboarding and support a growing customer base. Become a subject-matter expert in the global Kraken application data model and the Distribution domain, enabling teams and customers to interpret and use Kraken data confidently. Define, build and document reusable data models that make complex Distribution data easier to understand, govern and apply across customer use cases. Partner with Client Delivery Leads, Product, Engineering and customers to identify high-value opportunities and translate them into scalable data products and analytics capabilities. Support customer migrations through data discovery, mapping, transformation and reconciliation, reducing delivery risk and helping customers realise value sooner. Build and maintain reliable dbt models, shared metrics and core datasets that support consistent operational, product and customer decision-making. Develop lightweight Python-based ingestion pipelines for Distribution-specific market and non-application data, expanding the information available for reporting and advanced insights. Establish automated testing, monitoring, documentation and data-quality controls so that internal teams and customers can use Distribution data with confidence. Select and build effective ways to deliver insights (including trusted datasets, reports, dashboards and data applications) so stakeholders can turn data into action. Collaborate with Kraken Analytics, Data Platform and the wider data community to reuse shared capabilities, avoid duplication and ensure Distribution’s needs contribute to Kraken’s broader data roadmap. 🧠 What you'll bring to the party: We are looking for a senior analytics engineer who combines strong technical judgement with the ability to operate autonomously in a complex, customer-facing environment. You will be comfortable turning ambiguous business and domain problems into well-designed, reliable data products. You can move between detailed, hands-on engineering work and higher-level conversations about customer needs, architecture and priorities. You are also able to influence stakeholders and establish effective ways of working without relying on formal authority. As the first person in this role, you will be motivated by the opportunity to create something new, while recognising when to reuse and build upon the standards, tools and expertise that already exist across Kraken. Essential Experience Demonstrated analytics engineering or related data experience, including ownership of complex work from discovery through to production. Advanced SQL and dbt skills, supported by strong data-modelling principles and experience building maintainable, well-tested and reusable models. Experience building production-quality data pipelines using Python and modern cloud data warehouse or lakehouse technologies. Strong engineering practices, including version control, code review, automated testing, CI/CD and an understanding of data quality and reliability. Ability to collaborate effectively across Product, Engineering, Analytics and client-facing teams, explaining complex data concepts clearly to technical and non-technical audiences. Ability to work autonomously, navigate ambiguity and influence others while balancing immediate delivery with maintainability, scalability and reuse. We run a modern cloud data platform using key technologies such as: Postgres source databases AWS cloud infrastructure Databricks Delta Lake for data lake and warehouse storage and querying DBT for data modelling and transformations Python as main scripting language Airflow for task scheduling Kubernetes for orchestration Github, Circle CI for version control, deployment and monitoring ⭐️Bonus points: Experience in energy, utilities or other regulated industries Experience supporting customer data migrations, system implementations or enterprise transformation programmes. Familiarity with AWS, Airflow, Kubernetes and CircleCI. 💜 What you'll love about us: Flexible working environment - genuine work life balance here, we are in the top 5 companies in the UK , we treat you as a human, and do our best to make work and life merge smoothly together Equity Options Scheme - you own your own part of the business, share options in Kraken so we all work together towards success Office - have a certain tech requirement? We’ll do our best to get it. We also have drinks, snacks and a coffee machine at the office space on Bourke street. Your development is important - we support and help with development including internal and external courses, learning, study support etc, all bespoke to you Kraken is a certified Great Place to Work in France, Germany, Spain, Japan, Australia, and USA. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5. Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We’ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! 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’re looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. 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. *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 Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.*