Data Engineer at Kraken

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Dbt, AWS, Terraform, CloudFormation, Data Engineering, Software Engineering, Data Pipelines, Data Infrastructure, Data Quality, Data Performance, Communication Skills, Autonomous Work, Problem Solving, Documentation

Industry

technology;Information and Internet

Description

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. KrakenFlex The energy industry is undergoing the largest transformation since industrialisation at an unprecedented rate of change and we are positioning ourselves to be at the heart of that change. Our aim is to be the leading global provider of solutions that enable customers to release £30bn of value per annum from distributed energy resources (DERs). We are building a Software as a Service (SaaS) subscription business with a global addressable market of £2.4 billion per annum, by digitally connecting hundreds of thousands of DERs with energy markets. We have already attained a market leading position and KrakenFlex is a recognised thought leader and innovator in the industry. Our efforts have not gone unnoticed and we are pleased to announce that we now have the full support and backing of Octopus Energy, an award-winning UK energy supplier who share our passion and values. Our data sources and problems are many and varied. We have some simple but high throughput data sources (e.g. over 10,000,000,000 rows a day and growing rapidly), complex unstructured and semi structured data and complex application data from our various microservices. Our aim is to allow our business and our customers to answer increasingly complex questions, and gain new insights, based on our data, additional external data, and things we can learn and models we can extract from our data. \n What you'll do: Build and maintain data pipelines that deliver key data and insights to the business Integrate new data sources into the data platform as well as working on initiatives to continuously improve stability, quality and performance Continuously improve our data infrastructure and toolings, including ingestion, testing and documentation frameworks Work with the business to scope and deliver new data engineering projects and requirements, especially as we expand into markets across APAC Contribute to the software engineering and data engineering culture here at Kraken Collaborate regularly with colleagues across the world with many different specialities, including software engineers, data scientists and data engineers, to create innovative solutions that delight our customers and colleagues What you'll have: 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/CloudFormation 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. Excellent communication skills, especially in an asynchronous context \n Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

Responsibilities

Build and maintain data pipelines that deliver key data and insights to the business. Integrate new data sources into the data platform and continuously improve data infrastructure and toolings.