Job Description
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Kogan.com 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.
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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.
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What you'll do: n
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Scalable Pipeline Development:
Design and maintain ETL/ELT pipelines capable of handling
10M+ daily events
and large-scale data transfers across our platforms.
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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
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Support ML Workflows:
Build the underlying features and data inputs required for Machine Learning models
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Develop and refine ML models
for practical business use cases, such as customer sentiment, churn prediction or demand forecasting
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MLOps Integration:
Establish and maintain
MLOps pipelines
to help automate the deployment and monitoring of models in production.
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System Integration:
Work with internal APIs and third-party tools to ingest data efficiently while maintaining strict data integrity.
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Governance & Quality:
Implement best practices for data quality, security, and documentation to ensure our data remains a "source of truth."
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Development according to
software engineering best practices
(Git, CI/CD, trunk based development, tests)
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AI Collaboration:
Contribute to experiments with AI and LLMs to assess how they can be practically applied to solve business problems.
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What you'll need: n
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Strong SQL Foundations:
Solid experience writing and optimizing SQL for
commercial-scale products
(e.g., handling millions of rows and complex joins efficiently).
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Pipeline Orchestration:
Proven experience using tools like
Airflow, dbt, or AWS Glue
to manage and monitor production-grade data workflows.
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Python Proficiency:
Solid Python skills for data transformation, scripting and interacting with various data sources.
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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
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Cloud Experience:
Hands-on experience with cloud data platforms, with a strong preference for
GCP
.
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Software Best Practices:
Familiarity with Git, CI/CD, and basic containerization (Docker) to ensure code quality and deployment reliability.
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Problem-Solving Mindset:
A practical approach to engineering that balances the need for speed with long-term system stability.
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Bonus Points
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Experience with event streaming (e.g.,
Kafka, Kinesis
) for real-time data needs.
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Exposure to ML platforms and tools such as
SageMaker, Vertex AI, or Databricks
.
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Familiarity with BI and visualization tools like
Looker or Tableau
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An interest in eCommerce dynamics and customer behavior analytics.
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Why Kogan.com? n
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AI-Native Engineering:
AI is deeply embedded in how our Engineering teams build and operate. We're moving beyond standalone LLM use into agentic workflows, AI-assisted development and automation integrated into real engineering systems and processes. Engineers have access to leading AI tools, hands-on training and the freedom to experiment with new ways of designing, building and shipping software.
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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 & .
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Work with an incredible team to solve important challenges, helping to drive Australia and New Zealand's eCommerce future.
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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.
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You'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.
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Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.
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Learning budget of $****.
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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!
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To find out more about how we work, our tech stack, processes and company culture, visit and
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📌 Data Engineer (Melbourne)
🏢 Kogan.com
📍 Melbourne