Expressions of Interest - Data Engineers at Kogan.com

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Pipeline Tools, Python, Cloud Data Platforms, Data Modelling, Warehousing, Analytics, Data Quality, Security, Version Control, Documentation, Automation, AI, Collaboration, Communication, Problem-Solving

Industry

Retail

Description

Kogan.com is a pioneer of Australian eCommerce. Our vision is to leverage and build technology to deliver personalised, innovating and fast customer experiences and whilst doing so being pragmatic with our solutions, scalable with our architecture, strong with our quality and not being afraid to fail quickly. As a team, we are empowered to make change, share our opinions and build each others capability. We’re seeking expressions of interest from talented data engineers who’d like to be considered for future opportunities at Kogan.com. As a Data Engineer at Kogan.com, you’ll help power one of Australia’s most data-driven eCommerce businesses. You’ll design, build, and maintain reliable data pipelines, reports and visualisations that enable teams across Kogan, from Marketing to Purchasing to Finance, to make fast and informed decisions. You’ll work closely within a fast moving engineering team to ensure data is clean, accessible, and scalable across multiple systems, supporting everything from customer insights to operational automation. \n 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. 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. \n To find out more about how we work, our tech stack, processes and company culture, visit https://careers.kogan.com and https://devblog.kogan.com

Responsibilities

As a Data Engineer, you will design, build, and maintain reliable data pipelines, reports, and visualizations. You will collaborate with various teams to ensure data is clean, accessible, and scalable across multiple systems.