Gridcog Perth, Western Australia, AustraliaAbout UsGridcog helps a broad variety of organisations assess potential investments in electrical energy systems, usually grid-connected.
We do this by allowing customers to build a model of their existing sites and energy assets, and run many alternative scenario simulations incorporating streams of time series data from live markets, forecasts, and real-world meter data, leveraging a library of specifications of assets, pricing structures, and financial schedules.
Our software is powerful, flexible, and complex.Our very smart users aim to save time and money by not needing to build their own large Excel models and Python simulations.
Our success lies in being extensively configurable.
We need people who are smart, curious, love to learn, and are driven; who relish the challenge to do hard things right.Our software is used by customers around the world, with a current focus on Australia, the UK, and Europe.
Customers include all participants in the energy system: suppliers, project developers, large energy users, and a growing ecosystem of technology providers and consultants.We're a small, talented, and adaptable team.
Our people have a diversity of skills and backgrounds, and we strive to use and develop our different capabilities over a variety of projects.
We presently have around a dozen people in Engineering, around two dozen in the company - and we're growing.
We have clusters in London, Perth, and Melbourne, and a few fully remote.
For this role, our preference is a candidate based in Melbourne or Perth, but we are open to exceptional candidates elsewhere.Role SummaryWe're looking for a talented Senior Software & Data Engineer to join our data team.
Our platform is composed of a number of different subsystems built in Python and TypeScript, deployed to AWS, and accessed via GraphQL and a modern React app.
The focus of this role will be the components involved in data processing and visualization, but an ability to work across these different languages and technologies will be advantageous.A key component of the Gridcog platform is ingestion and processing of a wide variety of data sources related to energy generation, usage, and prices.
From energy regulators, energy suppliers, and customer assets such as solar and wind farms, and large-scale batteries.
You will help evolve and maintain our Python codebases focused on data processing and presentation, to help customers design and deliver the most efficient and effective energy transition outcomes.RequirementsOur ideal candidate has:Deep and current experience with test-driven software engineering techniques, and data processing with polars, pandas, numpy, and similarExperience designing and building data integrations with Python, operating on significant quantities of timeseries dataExperience with a range of database technologies, both SQL and NoSQL.
For example, Dynamo, Mongo, postgres, and data warehouse tech such as Redshift, Snowflake, ClickhouseExperience with Data Visualisation techniques across various tools, including analytics/BI platforms such Tableau, Looker, Grafana, or software libraries such as Altair/Vega, D3, BokehExperience with presenting high-volume time series data to end-users, for example in fintech, scientific modelling, or tech observability systemsExperience with ETL/ELT pipelines and both structured and unstructured data storesFamiliarity with a broad range of AWS services, IaC, and serverless event-driven architecturesStrong problem-solving and analytical skillsSolid foundation in software design, data structures, and algorithmsSystem design skills: design robust, reliable, and highly available servicesAbility to work collaboratively in both in-person and remote work environmentsAbility to communicate technical concepts clearly to technical and non-technical team membersExperience with API design, database schema design, and automated testingCI/CD development experience and modern monitoring and observability techniquesA background in energy markets, scientific computing, or financial markets modelling likely to be advantageousA growth mindset, experience with startup SaaS, and an interest in the energy system transition all greatly beneficial.What you'll do:Build and take ownership of key components of our SaaS product, with a focus on data - data flows, processing, quality, verification, presentation, and visualisationUtilise your in-depth knowledge of AWS services to build scalable, reliable, and highly available systemsWork on data ingestion, processing, aggregation, and data pipeline components to enable seamless data transformationDesign and implement APIs and Events to enable integration with other applicationsScalability and Performance: Optimise software components for performance and scalability to handle large data volumes efficientlyDocumentation: Create and maintain clear and comprehensive documentation for software architecture and codeCollaborate with product managers, other software and data engineers, and data scientists to understand and address customer needsProblem Solving: Troubleshoot and resolve software issues, including bug fixes, performance improvements, and enhancementsBenefitsCompetitive salary package aligned with experience and skillsOpportunity to work in a remote-first business with flexible working arrangementsWeekly opportunities for in-person collaboration at co-working spaces and an annual whole company retreatJoin a high-performing, unapologetic energy and tech nerd team to tackle significant challengesEngage in a high-trust distributed team environment that values innovation and creative problem-solvingContribute to the decarbonisation of the world's energy systemTime and budget support for ongoing professional and personal developmentOpportunity for ESOP participationSeniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesIT Services and IT Consulting
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