Expressions of Interest

vor 3 Wochen


City of Melbourne, Österreich Kogan.com Vollzeit

Expressions of Interest - Data Engineers Kogan.com, South Melbourne, Victoria, Australia We’re looking to build our talent pipeline for future data engineering roles. While we don’t have an immediate opening, we’re keen to connect with talented data engineers who want to be considered for upcoming opportunities. As a Data Engineer at Kogan.com, you’ll help power one of Australia’s most data‑driven eCommerce businesses. Why Kogan.com? Our culture empowers you to do your best work and have a big impact. Work with an incredible team to solve important challenges, helping drive the future of eCommerce in Australia and New Zealand. Your role offers ownership, autonomy, and little red tape. Be at the forefront of the eCommerce industry, part of a pioneering company. Be an *intrepreneur*, shaping strategy at HQ. Learning budget of $1,000. Employee benefits including complimentary memberships, discounts, health & wellness programs, learning & development, lunch & learns, hackathons, team events, and 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 such as Redshift, BigQuery, or Snowflake. Work with APIs, internal systems, and third‑party tools to ingest data reliably and efficiently; build 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 reporting; be 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 (e.g., Airflow, dbt, Glue). 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 environments. Excellent communication and collaboration skills with an eye for detail. Bonus Points 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. To find out more about how we work, our tech stack, processes and company culture, visit and #J-18808-Ljbffr



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