Data Engineer

About the Role

Kogan.com, a trailblazer in Australian eCommerce, serves millions with its software daily. Joining their dynamic engineering team means engaging in real ownership, daily production deployments, and leveraging AI in workflows.

Key Responsibilities

• Design and upkeep scalable ETL/ELT pipelines managing over 10 million daily events and vast data exchanges.
• Create and fine-tune data models in platforms such as BigQuery or Snowflake for optimal analytical and ML training performance at cost-effective scales.
• Support machine learning workflows by generating essential data features and inputs.
• Develop machine learning models for business applications including customer sentiment analysis, churn forecasting, and demand prediction.
• Build and sustain MLOps pipelines for seamless automation of ML model deployment and monitoring in production environments.
• Integrate internal APIs and external tools for efficient data ingestion maintaining rigorous data accuracy.
• Implement data governance policies ensuring quality, security, and comprehensive documentation to uphold data as a reliable source.
• Adhere to software engineering best practices like Git, continuous integration/delivery, trunk-based development, and testing.
• Contribute to AI and large language model experiments evaluating practical business solutions.

Qualifications & Skills

• Proficient in advanced SQL with experience managing large, commercial datasets with complex joins.
• Experienced in pipeline orchestration using Airflow, dbt, or AWS Glue for managing production data workflows.
• Strong Python programming skills in data transformation, scripting, and interfacing with multiple data sources.
• Hands-on experience in machine learning engineering including data preprocessing and model deployment workflows.
• Practical knowledge of cloud data platforms, especially Google Cloud Platform (GCP).
• Familiar with software development practices including Git, CI/CD processes, and containerization techniques like Docker.
• Effective problem-solving with a focus on balancing rapid innovation and system reliability.

Why Join Kogan.com?

• Work on impactful machine learning, data, and AI products used by millions, influencing business outcomes.
• End-to-end ownership of projects, from experimentation through deployment and optimization.
• Collaborate within a skilled engineering team that fosters autonomy, swift delivery, and practical innovation.
• Drive the future of AI, machine learning, and eCommerce in a leading Australian technology firm.
• Access a $1,000 yearly budget dedicated to personal learning and development growth.
• Benefit from perks including complimentary Kogan First membership, team discounts, health and wellbeing programs, educational sessions, hackathons, referral bonuses, volunteering, and team gatherings.