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Senior Analytics Engineer - Sydney, Australia - Pet Circle
Description
At Pet Circle, we want to create a world where pets and their families are healthy, happy and spend more time together - and we are looking for fantastic people to help us do that
Over the past ten years, we've scaled to become one of Australia's Top 5 eCommerce companies and the No.1 player in the Online Pet industry. We will accelerate our growth as we continue on our mission to disrupt the way that pet parents discover & shop for the products they love.
The pet industry is booming (it's a $15billion dollar industry) and pets are holding bigger spaces in our hearts and homes than ever before. Online penetration of the pet industry is going to grow exponentially in the next 5 years. This is a unique opportunity in your career to be part of our exceptional growth story
Founded and headquartered in Sydney, our team is now over 700 people strong and are based across Australia, New Zealand and the Philippines.
The Opportunity
Pet Circle is implementing a company-wide data governance program to manage the organisation's data assets. The framework encompasses the policies, procedures, roles, responsibilities, and standards that ensure data availability, quality, consistency, and security across the enterprise. Our team's mission is to leverage data and analytics to drive strategic decision-making, optimise operations, and enrich pet care with personalised experiences for pets and their parents.
The Location
At Pet Circle, collaboration and team connection are critical for success. and the role will be based in Sydney. To ensure you have the opportunity to connect and collaborate face-to-face with your team you will likely be in the office three days per week.
The Technical Environment
Pet Circle runs a Big Query/GCP data environment with several continuously increasing inbound data feeds. While Java is the primary language used to build our internal systems, the Data & Analytics team uses Python. You will work directly in Google Cloud Platform and Big Query, coding extracts and transforms using Python and Dataform (Google's alternative to DBT). There are relational databases that you will use to inform and build the data models.
What success looks like
The core medium-term goals of the role will be to complete the build-out of this environment by adding and refining data feeds, transforming the data into models and more, and ensuring that these are highly available and highly reliable for use within the business. Expected technical skills are solid SQL and a good understanding of "big data" databases & engineering in Python with a mindset of testable accuracy, observable performance, and sound design.
Soft skills are critical in this role as it will be highly collaborative with the engineering team and data scientists/analysts around the business. Learning what the company needs to succeed in the role will be necessary, so a genuine interest in using data to achieve business goals is required. Expect to collect requirements, propose solutions, and work through post-launch with project leads.