In-Demand Data engineer Jobs in Kew, Vic

Data Engineer
Kogan —South Melbourne VIC
- Full-time
- SQL
- AWS
- Machine learning
- Wellness program
2028 nbn Gradudate Program EOI
NBN Co —Melbourne VIC
- Full-time
- Leadership
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
LLM Data Scientist/Algorithm Engineer (Fully Remote)
Binance —Melbourne VIC
- Full-time
- Remote
- Computer Science
- English
- Master's degree
- Work from home
Quick Apply
Applied Statistician (Artificial Intelligence)
Bravada Group —Melbourne VIC
- $90,000 - $120,000 a year
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Quick Apply
Data Engineer
VicRoads —Melbourne VIC
- Full-time
- Remote
- SQL
- AWS
- Work from home
- Parental leave
Data Engineer
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Salesforce
- SQL
- AWS
- Parental leave
Data Architect / Engineer
Interactive —Melbourne VIC
- Full-time
- Azure
- SQL
- AI
Quick Apply
Data Engineer
News Corp —Melbourne VIC
- Hybrid work
- Salesforce
- SQL
- AWS
- Parental leave
Senior Data Engineer
Ippon Technologies —Melbourne VIC
- Hybrid work
- SQL
- Software development
Quick Apply
Data & Analytics Engineer
The Gemba Group —Melbourne VIC
- Full-time
- Azure
- Research
- SQL
Data Engineer - Consultant
Intelligen Group —Melbourne VIC
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
Senior Data Engineer
Blinq —Melbourne VIC
- Hybrid work
- SQL
- AWS
- AI
- Annual leave
11d
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Level 1 Windows Network Support
Medical iT —Melbourne VIC
- Microsoft Outlook
- Customer service
- Writing skills
Oliver Wyman - Senior Lead AI Engineer - Melbourne
Oliver Wyman —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Principal Data Engineer
Medibank —Docklands VIC
- Azure
- DevOps
- SQL
Data Engineer
Infosys Singapore & Australia —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AWS
Quick Apply
2d
Software Engineer, Data Infrastructure & Acquisition - Melbourne, Australia
Speechify —Melbourne VIC
- Remote
- Doctoral degree
- Computer Science
- Master's degree
10d
Principal Data Engineer
Ippon Technologies —Melbourne VIC
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick Apply

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data engineer jobs near kew, vic

Data Engineer

Kogan
South Melbourne VIC

Apply Now

Job Details

Full-time

Benefits

Wellness program

Qualifications

CI/CD
Looker
Data modelling
Deployment
Git
Google Cloud Platform
Tableau
SQL
AWS
Docker
Machine learning
Scripting
APIs
AI

Full Job Description

Kogan.com is a pioneer of Australian eCommerce, and the software we build is used by millions of customers every day. You'll join a fast-moving engineering team with real ownership, shipping to production daily and using AI as part of how we work.

As a Data Engineer you'll design and run the data and ML pipelines that let teams across Marketing, Purchasing, Logistics and Finance make confident, data-driven decisions.

What you'll do:

Scalable Pipeline Development: Design and maintain ETL/ELT pipelines capable of handling 10M+ daily events and large-scale data transfers across our platforms.
Data Modeling: Develop and optimize data models in environments like BigQuery or Snowflake to ensure high performance for both analytics and ML training sets with optimal cost
Support ML Workflows: Build the underlying features and data inputs required for Machine Learning models
Develop and refine ML models for practical business use cases, such as customer sentiment, churn prediction or demand forecasting
MLOps Integration: Establish and maintain MLOps pipelines to help automate the deployment and monitoring of models in production.
System Integration: Work with internal APIs and third-party tools to ingest data efficiently while maintaining strict data integrity.
Governance & Quality: Implement best practices for data quality, security, and documentation to ensure our data remains a "source of truth."
Development according to software engineering best practices (Git, CI/CD, trunk based development, tests)
AI Collaboration: Contribute to experiments with AI and LLMs to assess how they can be practically applied to solve business problems.

What you'll need:

Strong SQL Foundations: Solid experience writing and optimizing SQL for commercial-scale products (e.g., handling millions of rows and complex joins efficiently).
Pipeline Orchestration: Proven experience using tools like Airflow, dbt, or AWS Glue to manage and monitor production-grade data workflows.
Python Proficiency: Strong Python skills for data transformation, scripting and interacting with various data sources.
ML Engineering Exposure: Practical experience building the data infrastructure that supports machine learning, including data preprocessing and model deployment pipelines. Experience with machine learning models development
Cloud Experience: Hands-on experience with cloud data platforms, with a strong preference for GCP.
Software Best Practices: Familiarity with Git, CI/CD, and basic containerization (Docker) to ensure code quality and deployment reliability.
Problem-Solving Mindset: A practical approach to engineering that balances the need for speed with long-term system stability.

Bonus Points

Experience with event streaming (e.g., Kafka, Kinesis) for real-time data needs.
Exposure to ML platforms and tools such as SageMaker, Vertex AI, or Databricks.
Familiarity with BI and visualization tools like Looker or Tableau.
An interest in eCommerce dynamics and customer behavior analytics.

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!

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

Apply Now

Refine Your Search

data engineer jobs in kew, vic

Data Engineer

2028 nbn Gradudate Program EOI

Google Data Engineer - GCP

LLM Data Scientist/Algorithm Engineer (Fully Remote)

Applied Statistician (Artificial Intelligence)

Data Engineer

Data Engineer

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Data Engineer

Senior Data Engineer

Data & Analytics Engineer

Data Engineer - Consultant

Senior Data Engineer

Senior Product Data Engineer

Level 1 Windows Network Support

Oliver Wyman - Senior Lead AI Engineer - Melbourne

Principal Data Engineer

Data Engineer

Software Engineer, Data Infrastructure & Acquisition - Melbourne, Australia

Principal Data Engineer

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