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