In-Demand Databricks engineer Jobs in Cremorne, Vic

ML Engineer
Kogan —South Melbourne VIC
- Full-time
- Master's degree
- SQL
- Machine learning
- Wellness program
Data Engineer
VicRoads —Melbourne VIC
- Full-time
- Remote
- SQL
- AWS
- Work from home
- Parental leave
Data Engineer - Consultant
Intelligen Group —Melbourne VIC
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
Data Engineer – Databricks
Diksha Technologies —Melbourne VIC
- $800 - $900 a day
- Contract
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
6d
Databricks Engineer
Accenture —Melbourne VIC
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
Senior Engineer (C# backend development)
OpenTable —Melbourne VIC
- Full-time
- Management
- Software development
- APIs
- Annual leave
- Parental leave
Quick Apply
Data Engineer
Infosys Singapore & Australia —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AWS
Quick Apply
11d
Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Communication skills
Quick Apply
Data Consultant, Melbourne
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Global Customer Data Analyst
Gridsight —Melbourne VIC
- $2,500 a month
- Full-time
- Hybrid work
- Data analysis skills
- SQL
- AWS
Quick Apply
2d
Data Engineer
Kogan —South Melbourne VIC
- Full-time
- SQL
- AWS
- Machine learning
- Wellness program
Data Engineering Lead
Infosys —Melbourne VIC
- $129,311 - $142,018 a year
- Azure
- AWS
- AI
- Health insurance
- Parental leave
Data Engineer
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Senior Data Engineer
Ippon Technologies —Melbourne VIC
- Hybrid work
- SQL
- Software development
Quick Apply
Modern Workplace & AI Engineer - Hybrid
DuluxGroup —Clayton VIC
- Full-time
- Hybrid work
- Azure
- Analysis skills
- Agile
- Parental leave
- Employee assistance program
Data Analyst
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Marketing
- Work from home
- Parental leave
Manager, AI & Analytics Engineer - Performance Improvement
Deloitte —Melbourne VIC
- Azure
- Computer Science
- SQL
- Parental leave
12d
Senior Data Engineer (DataBricks)
Tata Consultancy Services —Melbourne VIC
- Azure
- Computer Science
- Engineering
Senior Analytics Engineer
La Trobe University —Bundoora VIC
- Azure
- SQL
- Experience working with children
6d
Principal Data Engineer
Medibank —Docklands VIC
- Azure
- DevOps
- SQL

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databricks engineer jobs near cremorne, vic

ML Engineer

Kogan
South Melbourne VIC

Apply Now

Job Details

Full-time

Benefits

Wellness program

Qualifications

CI/CD
Law
Deployment
Git
Google Cloud Platform
Master's degree
SQL
Machine learning
Forecasting
Data pipeline
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:

Machine Learning Development: Design, build and deploy machine learning models that solve practical business problems, including recommendation systems, demand forecasting, customer segmentation, churn prediction, pricing optimisation and fraud detection.
Production ML Systems: Build reliable and scalable machine learning services that deliver predictions in both real time and batch environments, ensuring strong performance, reliability and cost efficiency.
MLOps & Automation: Develop and maintain MLOps pipelines that automate model training, validation, deployment, monitoring and retraining.
Feature Engineering: Work with large datasets to create robust feature pipelines and reusable datasets that improve model performance and accelerate experimentation.
LLM & Generative AI Applications: Design, evaluate and deploy AI powered solutions using large language models (LLMs), retrieval systems, agents and emerging AI technologies to enhance customer experiences and internal productivity.
Model Monitoring & Optimisation: Implement monitoring frameworks to track model performance, drift, accuracy and business impact, continuously improving models in production.
Cross Functional Collaboration: Partner with Product Managers, Engineers, Analysts and business stakeholders to identify opportunities where machine learning can create measurable value.
Software Engineering Excellence: Develop solutions in line with software engineering best practices, including Git, CI/CD, trunk based development, testing and observability.
AI Collaboration: Contribute to experiments with AI and emerging technologies, helping shape how Kogan.com leverages machine learning and automation across the business.

What you'll need:

Strong Python Skills: Commercial experience building machine learning applications and data pipelines using Python and relevant machine learning libraries.
Machine Learning Expertise: Hands on experience developing, evaluating and deploying machine learning models in production environments.
MLOps Experience: Experience building and maintaining model deployment, monitoring and retraining pipelines using modern MLOps practices and tools.
Data Engineering Foundations: Strong SQL skills and experience working with large datasets, feature engineering workflows and distributed data processing systems.
Cloud Experience: Hands on experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI, BigQuery and Cloud Run.
Software Engineering Best Practices: Strong understanding of Git, CI/CD, testing frameworks, containerisation and production system reliability.
AI & LLM Experience: Experience working with LLMs, embeddings, vector databases, RAG architectures or AI agents through commercial or personal projects.
Problem Solving Mindset: A practical engineering approach that balances experimentation and innovation with reliability, scalability and business impact.

Bonus Points

Recommendation & Forecasting Systems: Experience building recommendation systems, search ranking models or forecasting solutions.
ML Platforms & Tooling: Exposure to ML platforms and tools such as Vertex AI, Databricks, SageMaker or Kubeflow.
Streaming & Event Driven Systems: Experience with event driven architectures and streaming technologies such as Kafka or Pub/Sub.
LLM Application Deployment: Experience deploying AI applications powered by LLMs and agent frameworks.

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

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databricks engineer jobs in cremorne, vic

ML Engineer

Data Engineer

Data Engineer - Consultant

Data Engineer – Databricks

Databricks Engineer

Senior Engineer (C# backend development)

Data Engineer

Consultant - Data & Analytics

Data Consultant, Melbourne

Global Customer Data Analyst

Data Engineer

Data Engineering Lead

Data Engineer

Senior Data Engineer

Modern Workplace & AI Engineer - Hybrid

Data Analyst

Manager, AI & Analytics Engineer - Performance Improvement

Senior Data Engineer (DataBricks)

Senior Analytics Engineer

Principal Data Engineer

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