At Flagship, we're rapidly transforming the retail industry with a platform loved by leading retailers across Australia and the USA. In less than two years in market, we've made impressive strides by listening to our partners and helping them elevate store performance, boost revenue, and reduce operational costs.
Our technology empowers retailers by digitising the management and execution of in-store visual merchandising, blending this process with integrated product and sales data to uncover actionable insights that maximise store profitability.
With strong revenue, a top-tier team, and backing from a respected VC firm, we're primed for even greater growth. Now, we're seeking passionate, talented individuals to join us in shaping the future of global retail.
About the roleEmpowering our customers to make the most informed decisions about their stores is all about data. We ingest, process and present a variety of data sources to help make their experience as great as possible. Are they trying to place products that are out of stock? Are they keeping products in the window display that aren't selling? Are their marketing campaigns running that should influence which products are placed on mannequins?
As Flagship's first full time Data Engineer, you'll be owning everything to do with data. This includes managing data pipelines, optimising data transformations, designing storage and access patterns, and developing our business intelligence layer. With data at the core of what we do, you'll have the opportunity to not only grow with the business but have a major influence over the success of our product.
Your missionBuild and maintain the data pipelines that power our platform. You're fluent at reading API documentation to figure out what we need, where it lives and how to extract it.Own the end-to-end data transformation process. You'll take charge of designing and implementing transformations using SQL to convert raw data into actionable insights. By ensuring data is clean, consistent, and well-structured, you'll make it accessible and valuable for our entire team.Design and optimise our data warehouse. By designing storage patterns that suit our unique data needs, you'll play a critical role in structuring our data warehouse to ensure scalability and performance.Influence data access patterns. You'll work closely with engineering and product teams to shape how data is accessed across the platform. We access the same data in many different ways, so staying performant is an interesting challenge you're eager to take on.Minimum Requirements3+ years professional experience working as a data engineer. You're not just familiar with, but also excel in tools/technologies like SQL, relational databases, data warehouses, Python, Pandas and BI platforms.2+ years experience in AWS (or another cloud platform) building production data products.A problem solver at heart, comfortable working in a fluid, fast-paced environment where you may not always have all the information you need.An understanding of the trade-offs between speed and precision, with the ability to balance these as we build products our customers love.You take pride in delivering high-quality code because you've lived the benefits of doing so.Strong communication skills in order to present, articulate and justify technical solutions to internal and external teams.The perksCompetitive salaries & options.
Flexible working arrangements, we value work-life balance.
Company-wide off-sites and strategy days.
Company socials, we celebrate our success together.
Delicious office food and regular team lunches.
You don't have to have every listed requirement and skill to be a great fit - you may even teach us something about what we should be looking for! If you are passionate about this opportunity and think you have the skills to succeed, please apply!
Please note: You must be eligible to live and work in Australia to apply for this role. This role requires a minimum of 3 days / week in office. Fully remote applicants will not be considered.
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