Why Kogan.com?
- 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 https://devblog.kogan.com/ & https://goodteams.app/teams/kogan.com.
- 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!
What you'll do:
- Design, build, and maintain ETL/ELT pipelines that move and transform data across Kogan’s data platforms.
- Develop and optimise data models for analytics and reporting in systems like Redshift, BigQuery, or Snowflake.
- Work with APIs, internal systems, and third-party tools to ingest data reliably and efficientlyBuild reports, visualisations and dashboards to support better insights for business teams.
- Collaborate with engineers and analysts to ensure data integrity and performance across multiple environments.
- Implement best practices for data quality, security,version control, and documentation.
- Support automation of business processes and operational reportingBeing a part of innovations and experiments with AI to assess and leverage its capability for business needs.
- Contribute to scaling and improving Kogan’s data platform as business needs evolve.
What you'll need:
- Solid experience with SQL and data pipeline tools (for example, Airflow, dbt, Glue, or similar).
- Strong Python skills for scripting and data transformation.
- Experience working with cloud data platforms (AWS preferred).
- Familiarity with data modelling, warehousing, and analytics concepts.
- A pragmatic, problem-solving mindset that balances speed and quality. Adaptability and active learning in dynamically evolving environmentsExcellent communication and collaboration skills with an eye for detail.
- Experience with event streaming (Kafka, Kinesis).
- Exposure to BI tools (Looker, Tableau).
- Understanding of software engineering best practices (Git, CI/CD).
- Interest in eCommerce, customer analytics, or large-scale data systems.