Offer summary

Qualifications:

Minimum 2 years of recent cloud experience with large data platforms, preferably GCP., At least 5 years of experience in Data Warehousing., Proficiency with modern MPP cloud data warehouses like Snowflake, Redshift, or BigQuery., Strong skills in SQL, data modeling, and developing dashboards..

Key responsibilities:

Develop and maintain data pipelines and models using Dataform and Cloud Functions.

Create visually appealing dashboards to communicate insights.

Collaborate with stakeholders from product and operational teams to gather requirements.

Operate and optimize data infrastructure at scale, ensuring high performance.

Job description

SKUTOPIA is on a mission to democratise and decarbonise logistics.

SKUTOPIA is a deeptech logistics company operating under a dual RaaS (RoboticsasaService) and SaaS model. We deliver endtoend, AIpowered robotic fulfilment for retailers eliminating inefficiencies inherent in traditional 3PL models, such as human error, high labour costs, and carbonheavy processes.

Our advanced robotics and proprietary AI empower our customers to scale faster with highspeed, highquality fulfilment at a fraction of the typical cost while also driving both revenue and profit growth.

Founded in 2018 by Talea Bader and Emily Townsend, SKUTOPIA began as Sydney’s first eCommerce coworking space. After witnessing firsthand the logistics challenges faced by SMBs, the founders evolved the business into a techfirst fulfilment solution.

About the role:

Right now, we’re scaling up the team and looking for Senior Data & Analytics Engineers to join us. Your responsibilities will span from data ingestion to the development of analytics models using Dataform. Additionally, you will be tasked with crafting visually appealing dashboards that effectively communicate insights.

If you have relevant experience and are familiar with our tech stack, wed love to talk and see if we might be a good fit for each other.

Please note: For Sydneybased candidates, this will be a hybrid role; for Melbournebased candidates the role will be remote initially and later transition to hybrid.

For this role you will have:

At least 2 years of recent cloud experience in building and managing large data platform environments in the cloud, preferably GCP.

At least 5 years of experience in Data Warehousing.

Experience with modern MPP cloudbased data warehouse solutions such as Snowflake, Redshift, or BigQuery.

Advanced SQL, Cloud Functions or lambda and data modeling skills.

Experience working with eventoriented datasets of large size and diverse schemas.

Experience in developing dashboards and reporting systems.

Experience with DevOps practices and techniques, such as IaC, Docker and CICD tools.

Previous working experience with dbt or Dataform.

Familiarity with a wide range of data warehousing principles, including architecture, methodologies, schemas, performanceoptimization principles, and best practices.

Strong proficiency in following the ELT approach to the data integration process.

Curiosity and selfdrive to continuously learn new techniques and tools for extracting value from data.

Experience in requirements gathering, owning, tracking, and delivering goals, working both independently and in teams.

On a daytoday basis, you can expect to:

Work with various stakeholders which include product teams, operational teams across various verticals from requirements gathering to delivery of the projects.

Apply software engineering practices in creating data pipelines, Cloud Functions and Dataform models to provide highperforming and clean datasets from the data warehouse to end users.

Work primarily with SQLJinja and Python to automate and optimize data loading and transformation systems.

Maintain, operate, and tune data infrastructure at scale, including Datastream, cloud functions, GCP Data Streaming, BigQuery, Dataform, python and Looker.

Work with eventoriented data sets of large size and diverse schemas.

Develop infrastructure, tools, and scalable frameworks for data ingestion, access, and modeling to support SKUTOPIA’s utilization of the data warehouse.

Design and build analytic data models that support answering questions from product teams, operational teams, and the leadership team.

Work collaboratively and autonomously in a fastpaced environment.

#LIDNI
When you join us, you’ll be an important pillar of a rapidly growing company. From day one you will be challenged to take risks, think big and make an impact while getting lots of love and support from the team. With our expected growth over the next 12 months, this is a role with plenty of breadth and variety where you can grow with us and be proud of what we achieve together.

We proudly welcome people from all diverse backgrounds. When you join SKUTOPIA, we want you to bring your whole self to work and we value your unique contribution.

Whats next?

If youre keen to find out more, apply now with your resume and well be in touch soon to schedule an initial screening call where we will walk you through the recruitment process. Usually, we kick things off with a “getting to know you” interview, then we’ll ask you to tackle a takehome challenge or case study, and wrap it up with a final interview.

Still on the fence?

We know that statistically, some groups are less likely to apply for a role than others, depending on their perception of whether they meet some or all of the criteria. If you have most of the things were looking for, we encourage you to apply!