K
Kraken1234d ago

Data Engineer

LondonFull-timemid
Data EngineerData
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Overview

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,

Technical Tools
Data EngineerData
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 Customer
 
What we do: 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.
 
Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now.

About Our Data Platform Team
 
At Kraken we've developed a data platform that is used by our retail energy business clients 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 customised 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.
 
We're passionate about building great technology to change the way customers use, and think about, energy for the good of the planet. This is a fantastic opportunity to work with us on data problems that genuinely move us closer to Net Zero, and support the energy transition.
  • Build the platform used by Analytics Engineers to transform raw data into insight for the rest of the business - dbt is a powerful tool and we’ve built our own wrapper around it to maximise its effectiveness at Kraken
  • Investigate and implement new tooling where appropriate, whether its developed in-house or sourced externally
  • Maintain and build on our existing data infrastructure and tools.
  • Consult the wider business on Analytics Engineering best practices and stay up to date with trends within the profession
  • Support the internationalisation of our data infrastructure as we continue to grow globally.
  • 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:
  • Python, SQL, DBT
  • Experience deploying data services in a cloud environment (ideally AWS)
  • Experience in infrastructure as code - Terraform / Spacelift
  • Experience with monitoring and optimising developer productivity using tools like Sentry
  • The projects will be varied and we're looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions.
  • Location & Eligibility

    Where is the job
    London
    Hybrid — some on-site time required
    Who can apply
    Same as job location

    Listing Details

    Posted
    April 30, 2026
    First seen
    April 30, 2026
    Last seen
    May 4, 2026

    Posting Health

    Days active
    4
    Repost count
    0
    Trust Level
    62%
    Scored at
    May 4, 2026

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    Data Engineer