About Auror

At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day.

Founded in New Zealand 11 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK.

Auror is connecting people and intelligence to reduce crime. We’re using technology for good.

In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team.

The Role

We are looking for a Data Engineer who is eager to work with a modern data platform as part of our data engineering team. The team is part of the wider Data and AI team, which are based all over the world. However, our core team is based in Auckland, New Zealand, and this role is based in our Auckland HQ.

Our data engineers typically work on data pipelines and transformations - moving data from core data stores to our data warehouse, and transforming it into concise, clean, and useful views. We have many sources of data, some examples are: a relational (Azure SQL) database of retail crime reports, high frequency detections of vehicles from automated license plate recognition (LPR) cameras (stored in CosmosDB), and high frequency click-events from users interacting with our platform (stored in Blob Store). Our team uses tools such as DBT, Airflow, Azure Functions, Fivetran and Azure Data Factory to move data around in our platform, typically landing it in our data warehouse (Snowflake) before it is consumed by our platform and customers. We also use tools such as Python and Snowpark to transform our data.

Your role would be diverse, gaining experience across our entire data platform. Initially your time would be spent getting familiar with our core data systems, before moving on to building out new data pipelines and transformations. This role is focused on both the engineering side of data engineering and the people side. We expect you to be spending most of your time building scalable pipelines and working on our data infrastructure, as well as communicating and collaborating with various teams across Auror. As a senior data engineer we’d expect you to be able to teach our more junior engineers on best practices in order to help them improve their craft.

What you will work on:

• Distributing scalable data pipelines using infrastructure-as-code and CI/CD processes.
• Working collaboratively with the wider Auror team to help generate robust data models that can be used in a variety of applications.
• Continuously improving our core systems with a focus on data quality and observability.
• Investigating new and exciting tools that may help to improve our data processes
• Your time would be split 50/50 working collaboratively within the Data Team and working as part of our product streams. The product streams include a product manager, software engineers, QA and design.

This role reports to Nickolas Morton, Lead Data Engineer

LinkedIn Link

I joined Auror because I wanted to work on something that mattered. I currently sit within the data team and mostly work with our data warehouse and its use within the company. At university I studied complex network theory, which then transitioned into data science. I quickly understood that in order to provide quality, production ready insights the data platform itself has to be robust. This led me into data engineering, where I have found my passion. I enjoy working with people who care about what they do, and are always keen to experiment and improve.