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:
- **Machine Learning Development:** Design, build and deploy machine learning models that solve practical business problems, including recommendation systems, demand forecasting, customer segmentation, churn prediction, pricing optimisation and fraud detection.
- **Production ML Systems:** Build reliable and scalable machine learning services that deliver predictions in both real time and batch environments, ensuring strong performance, reliability and cost efficiency.
- **MLOps & Automation:** Develop and maintain MLOps pipelines that automate model training, validation, deployment, monitoring and retraining.
- **Feature Engineering:** Work with large datasets to create robust feature pipelines and reusable datasets that improve model performance and accelerate experimentation.
- **LLM & Generative AI Applications:** Design, evaluate and deploy AI powered solutions using large language models (LLMs), retrieval systems, agents and emerging AI technologies to enhance customer experiences and internal productivity.
- **Model Monitoring & Optimisation:** Implement monitoring frameworks to track model performance, drift, accuracy and business impact, continuously improving models in production.
- **Cross Functional Collaboration:** Partner with Product Managers, Engineers, Analysts and business stakeholders to identify opportunities where machine learning can create measurable value.
- **Software Engineering Excellence:** Develop solutions in line with software engineering best practices, including Git, CI/CD, trunk based development, testing and observability.
- **AI Collaboration:** Contribute to experiments with AI and emerging technologies, helping shape how leverages machine learning and automation across the business.
### What you'll need:
- **Strong Python Skills:** Commercial experience building machine learning applications and data pipelines using Python and relevant machine learning libraries.
- **Machine Learning Expertise:** Hands on experience developing, evaluating and deploying machine learning models in production environments.
- **MLOps Experience:** Experience building and maintaining model deployment, monitoring and retraining pipelines using modern MLOps practices and tools.
- **Data Engineering Foundations:** Strong SQL skills and experience working with large datasets, feature engineering workflows and distributed data processing systems.
- **Cloud Experience:** Hands on experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI, BigQuery and Cloud Run.
- **Software Engineering Best Practices:** Strong understanding of Git, CI/CD, testing frameworks, containerisation and production system reliability.
- **AI & LLM Experience:** Experience working with LLMs, embeddings, vector databases, RAG architectures or AI agents through commercial or personal projects.
- **Problem Solving Mindset:** A practical engineering approach that balances experimentation and innovation with reliability, scalability and business impact.
### Bonus Points
- **Recommendation & Forecasting Systems:** Experience building recommendation systems, search ranking models or forecasting solutions.
- **ML Platforms & Tooling:** Exposure to ML platforms and tools such as Vertex AI, Databricks, SageMaker or Kubeflow.
- **Streaming & Event Driven Systems:** Experience with event driven architectures and streaming technologies such as Kafka or Pub/Sub.
- **LLM Application Deployment:** Experience deploying AI applications powered by LLMs and agent frameworks.
### 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!
