Job description
is a pioneer of Australian eCommerce, and the software we build is used by millions of customers every day. You'll join a fast-moving engineering team with real ownership, shipping to production daily and using AI as part of how we work.
As a Data Engineer you'll design and run the data and ML pipelines that let teams across Marketing, Purchasing, Logistics and Finance make confident, data-driven decisions.
### What you'll do:
- **Scalable Pipeline Development:** Design and maintain ETL/ELT pipelines capable of handling **10M+ daily events** and large-scale data transfers across our platforms.
- **Data Modeling:** Develop and optimize data models in environments like **BigQuery or Snowflake** to ensure high performance for both analytics and ML training sets with optimal cost
- **Support ML Workflows:** Build the underlying features and data inputs required for Machine Learning models
- **Develop and refine ML models** for practical business use cases, such as customer sentiment, churn prediction or demand forecasting
- **MLOps Integration:** Establish and maintain **MLOps pipelines** to help automate the deployment and monitoring of models in production.
- **System Integration:** Work with internal APIs and third-party tools to ingest data efficiently while maintaining strict data integrity.
- **Governance & Quality:** Implement best practices for data quality, security, and documentation to ensure our data remains a "source of truth."
- Development according to **software engineering best practices** (Git, CI/CD, trunk based development, tests)
- **AI Collaboration:** Contribute to experiments with AI and LLMs to assess how they can be practically applied to solve business problems.
### What you'll need:
- **Strong SQL Foundations:** Solid experience writing and optimizing SQL for **commercial-scale products** (e.g., handling millions of rows and complex joins efficiently).
- **Pipeline Orchestration:** Proven experience using tools like **Airflow, dbt, or AWS Glue** to manage and monitor production-grade data workflows.
- **Python Proficiency:** Strong Python skills for data transformation, scripting and interacting with various data sources.
- **ML Engineering Exposure:** Practical experience building the data infrastructure that supports machine learning, including data preprocessing and model deployment pipelines. Experience with machine learning models development
- **Cloud Experience:** Hands-on experience with cloud data platforms, with a strong preference for **GCP**.
- **Software Best Practices:** Familiarity with Git, CI/CD, and basic containerization (Docker) to ensure code quality and deployment reliability.
- **Problem-Solving Mindset:** A practical approach to engineering that balances the need for speed with long-term system stability.
**Bonus Points**
- Experience with event streaming (e.g., **Kafka, Kinesis**) for real-time data needs.
- Exposure to ML platforms and tools such as **SageMaker, Vertex AI, or Databricks**.
- Familiarity with BI and visualization tools like **Looker or Tableau**.
- An interest in eCommerce dynamics and customer behavior analytics.
### Why ?
- Our culture is unlike anywhere else and regardless of where you are in your career journey, we empower you to do your best work and have a big impact. Check us out & .
- Work with an incredible team to solve important challenges, helping to drive Australia and New Zealand's eCommerce future.
- Your role has a lot of ownership, autonomy and little red tape. You'll be empowered to achieve positive outcomes and your work will have a real impact.
- You'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.
- Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.
- Learning budget of $1000.
- A range of employee benefits such as; complimentary Kogan First Membership, team exclusive discounts, Health & Wellness program, Learning & Development and Lunch & Learns, Hackathons, Team member referral program, Company and team events and celebrations, community engagement (volunteering) and extensive career development opportunities plus loads more!
