Platform Engineer 🇦🇺

We're on a mission to make a big green dent in the universe by building a truly sustainable energy system globally.

That means making power greener, smarter, and more affordable for everyone.

We put customers at the heart of everything we do: with always-fair prices, transparency and outrageous customer service.

We drive system change: with transformative tech to make renewable energy the norm and end global reliance on fossil fuels.

Octopus Energy Group is made up of 10 businesses spanning 6 countries across 3 continents, including: Octopus Energy Retail, Kraken Technologies, Octopus Energy Generation, Kraken Flex, Octopus Electric Vehicles, and the Octopus Centre for Net Zero. More on OEG @ octopusenergy.group

Since 2016, Octopus has been on a mission to bring affordable, green energy to the world. With the help of our in-house developed technology platform, Kraken, we’ve become the largest energy supplier in the UK, opened retailers in 7 other countries, and licensed our software to retail giants including E.ON in the UK and Origin Energy in Australia. We’ve reinvented energy products with smart, data-driven tariffs to balance customer demand with renewable generation - and we’re the biggest investor in renewable generation in the UK.

We've since expanded our tentacles and we are now looking for a Platform Engineer, based in Melbourne. We're looking for someone with a general interest in technology and problem-solving; someone diligent and thoughtful. Working with Kraken is a chance to join an exciting scale-up business within the energy supply sector, one that’s at the forefront of changing the landscape of the energy industry across the world. A role with us offers you the chance to contribute to building world-class operations that will catapult you into a fantastic career.

At Kraken we have developed a platform to provide data services to our retail businesses and clients across 22 deployments globally.

The data platform engineering team develops and manages the back-end systems and processes supporting this platform, predominantly working with time-series data fed into the system by our customers’ smart metres. We have developed a suite of applications to process, transform, and make this data available to downstream services.

To process the volume of data we typically see, our applications run PySpark or dbt jobs using Databricks as our Spark engine. We also leverage Airflow and Kubernetes heavily. We also employ software engineering best practices to design, test, and deploy our data platform and services.

Python as our main programming language

Terraform for our infrastructure definition

Kubernetes for data services and task orchestration

Helm for deploying and managing kubernetes apps

Airflow for job scheduling and tracking

Circle CI / Github Actions for continuous deployment

Parquet and Delta file formats on S3 for data lake storage

Postgres / aurora for our relational databases

Spark / Databricks for data processing

dbt for data modelling

SparkSQL for analytics

Streamlit for data applications

Git for version control

Additionally it would be useful to have….