Workit Spaces is a fast-growing Australian startup – we’re building innovative ecosystems that power the booming eCommerce industry. To deliver on our mission, we provide eCommerce and Coworking Hubs and this year are launching Australia’s leading order fulfilment SaaS platform and fulfilment network: SKUtopia.
SKUtopia is a cloud-based software solution allowing eCommerce businesses to manage orders across multiple storefronts, as well as inventory, shipping, and warehousing all in one platform. On top of this, we’ll provide highly robotised 3PL services, which will use SKUtopia with our in-house leading computer vision and AI technology for fast delivery, quality control and accuracy.
Our head office is in Sydney but we have team members across Australia and are happy for you to work remotely.
About the role
We are looking for an experienced data engineer to join our team, and help set up our data and analytics function. You will use your expertise to help build and maintain data systems, pipelines, and associated infrastructure, advising on the best solutions for the product and helping us to make good strategic decisions around data.
Why is this an exciting opportunity?
As one of the founding members of the data and analytics team, this is a chance to build something from scratch. You’ll be able to use your own experiences and understanding of best practice to ensure that we’re setting things up right, and will be able to grow a happy and high-performing data engineering team. With the growth we have forecast for the next 12 months, there will be significant opportunities for you - whether that means finding your own technical niche, or becoming a people leader, there are lots of paths open to you and we’re excited to explore them all as we grow.
In your role, you can expect to be:
Building and maintaining data systems, pipelines, and necessary infrastructure
Evaluating business needs and objectives
Building data warehouses and data lakes
Exploring ways to enhance data quality and reliability
Identify opportunities for data acquisition
Developing analytical tools and programs
Collaborating with data scientists and the development team
To be successful in this role, we think you are going to need strong data engineering skills with end-to-end project delivery experience, from scope definition, data identification, data modelling, data warehousing, production, and maintenance.
We’d like you to bring:
Extensive previous experience as a data engineer
Really strong communication skills - you'll need to be able to articulate to stakeholders what needs to be done, your strategy for the team and the investment and support needed to make it a reality
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages and infrastructure as code using Terraform or Pulumi
Hands-on experience with SQL database design
Cloud experience. We use GCP but if you’ve worked with Azure or AWS that’s great too
Experience with ML-Ops would be beneficial
If you’d like to find out more, please get in touch or apply now. We’ll get back to you within 5 days.
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