Data Engineer: ML Pipelines, AI & Scalable Data

Kogan.com

Melbourne

On-site

AUD 120,000 - 180,000

Full time

10 days ago

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Benefits offered by this job

1000 learning budget annually
Kogan First membership
Team discounts
Lunch & Learns
Hackathons
Referral bonuses
Volunteering opportunities
Regular team events

Job summary

Kogan.com is seeking a Data Engineer to design and run the data and ML pipelines powering decisions across Marketing, Purchasing, Logistics and Finance.

You will build scalable ETL/ELT pipelines, model data in BigQuery or Snowflake for analytics and ML training, and support ML workflows from feature inputs to model deployment. Join a fast-moving team that values ownership and practical AI.

Qualifications

  • Strong SQL foundations for commercial-scale products.
  • Experience using Airflow, dbt or AWS Glue to manage data workflows.
  • Proficiency in Python for data transformation and scripting.
  • Experience building ML data infrastructure and deployment pipelines.
  • Hands-on cloud data platform experience, preferably GCP.
  • Familiarity with Git, CI/CD and containerization (Docker).
  • A practical, problem-solving approach balancing speed with long-term stability.

Responsibilities

  • Design and maintain ETL/ELT pipelines handling 10M+ daily events.
  • Develop data models in BigQuery or Snowflake for analytics and ML.
  • Support ML workflows with data inputs and feature engineering.
  • Develop and refine ML models for customer sentiment, churn prediction, and demand forecasting.
  • Establish MLOps pipelines for production deployment and monitoring of models.
  • Ingest data via internal APIs and third-party tools with strong data integrity.
  • Ensure data quality, security, and documentation as a source of truth.
  • Follow software engineering best practices (Git, CI/CD, trunk-based development, tests).
  • Collaborate on AI experiments to apply LLMs to business problems.

Skills

SQL Foundations
Python
Airflow
dbt
AWS Glue
Docker
Git
CI/CD
MLOps
GCP

Tools

Airflow
dbt
AWS Glue
Docker
Git

Job description

Kogan.com is seeking a Data Engineer to design and run the data and ML pipelines powering decisions across Marketing, Purchasing, Logistics and Finance.

You will build scalable ETL/ELT pipelines, model data in BigQuery or Snowflake for analytics and ML training, and support ML workflows from feature inputs to model deployment. Join a fast-moving team that values ownership and practical AI.

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