Data Platform Engineer

Technology company focused on creating smart, sustainable energy systems and powering innovative global developments in energy.
Melbourne, FL, USA
Data
Mid-Level Software Engineer
Hybrid
AI · Enterprise SaaS

Description For Data Platform Engineer

Kraken is revolutionizing the energy sector with their innovative technology platform focused on creating smart, sustainable energy systems. As a Data Platform Engineer, you'll join a team that's transforming how energy is managed and consumed globally. The role involves working with a data platform that serves Octopus Energy and other retail energy businesses worldwide, processing billions of smart meter readings and enabling sophisticated data analytics.

The position offers a unique opportunity to work on data problems that directly contribute to achieving Net Zero goals and supporting the energy transition. You'll be part of a team that handles everything from natural language understanding of customer communications to processing massive amounts of smart meter data for creating innovative energy tariffs.

The ideal candidate will be a strong software engineer with a passion for data engineering, capable of working with modern tools like dbt, Python, and SQL. You'll be responsible for building and maintaining data infrastructure, implementing new tools, and ensuring best practices in analytics engineering. The role offers the excitement of working with a rapidly expanding platform that's making real impact in sustainable energy.

Working in a hybrid environment in Melbourne, you'll have the opportunity to contribute to a mission-driven company that values diversity and inclusion. The company actively encourages applications from all backgrounds, emphasizing that skills and perspectives drive their success rather than traditional requirements. This is an excellent opportunity for someone who wants to combine technical expertise with meaningful environmental impact.

Last updated a month ago

Responsibilities For Data Platform Engineer

  • Build the platform used by Analytics Engineers to transform raw data into insight using dbt
  • Investigate and implement new tooling
  • Maintain and build existing data infrastructure and tools
  • Consult on Analytics Engineering best practices
  • Support the internationalisation of data infrastructure for global growth

Requirements For Data Platform Engineer

Python
  • Strong software engineering skills
  • Python experience
  • SQL experience
  • DBT experience
  • Experience deploying data services in cloud environment (AWS)
  • Experience in infrastructure as code - Terraform / Spacelift
  • Experience with monitoring tools like Sentry
  • Ability to work autonomously and deliver pragmatic solutions

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