In-Demand Analytics engineer data & analytics Jobs in Melbourne, Vic

Senior Data Engineer - AWS and Snowflake
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
5h
Data Architect / Engineer
Interactive —Melbourne VIC
- Full-time
- Azure
- SQL
- AI
Quick Apply
14d
Solution Engineer
Snowflake —Melbourne VIC
- Azure
- Computer Science
- Engineering
6d
Senior Data Architect (enterprise)
Australia Post —Richmond VIC
- Full-time
- Recruiting
- AI
- Analytics
Service Scheduling Coordinator, Field Service, APAC Energy & Charging Service
Tesla —Cremorne VIC
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Staff Mobile Engineer, Spend Foundation
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- Engineering
Solution Architect
HUB24 —Melbourne VIC
- Full-time
- Computer science
- Computer Science
- No degree
Deployed Product Manager, Health Systems
Heidi —Melbourne VIC
- $170,000 - $220,000 a year
- Full-time
- Hybrid work
- Bachelor's degree
- EMR systems
- AI
- Work from home
- Parental leave
2h
Senior Data Technical Lead
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Systems design
5d
Senior Site Reliability Engineer, Spend
Airwallex —Melbourne VIC
- Full-time
- Computer Science
- Salesforce
- DevOps
Senior Engineer
Domain Group —Cremorne VIC
- AWS
- APIs
- Communication skills
12d
Research Engineer
4DMedical —Carlton VIC
- Full-time
- Hybrid work
- Engineering
- Research
- AI
- Wellness program
- Parental leave
Quick Apply
14d
Experienced Engineer - Irrigation Water Supply Infrastructure
SMEC —Melbourne VIC
- Full-time
- Analysis skills
- Education
- Communication skills
- Parental leave
Senior AI Engineer
Moose —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Systems design
- Master's degree
- Employee assistance program
Data & AI Architect
InfoCentric —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
Quick Apply
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Machine Learning Engineer
Mutinex —South Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- Annual leave
- Work from home
Quick Apply
Senior iOS Engineer
Domain Group —Cremorne VIC
- Computer Science
- DevOps
- Engineering
11d
Head of Data Centre Operations
Siemens —Melbourne VIC
- Full-time
- Master's degree
- Business Administration
- Leadership
Functional Dynamics 365 Supply Chain/FinOps Lead
Deloitte —Melbourne VIC
- Communication skills
- Parental leave

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analytics engineer data & analytics jobs near melbourne, vic

Senior Data Engineer - AWS and Snowflake

Capgemini -
Melbourne VIC

Apply Now

Job Details

5 hours ago

Qualifications

CI/CD
Data modelling
DevOps
Git
Administrative experience
SQL
AWS
Security
S3
Redshift
AI

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

About the Service Line:

Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions.

This is a unique opportunity within the Insights & Data (I&D) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and New Zealand. You will help shape and deliver complex projects and programs of work for our clients. You will understand our client’s need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives.

Let’s talk about the roles and responsibilities:

Design, develop, and maintain scalable real-time, event-driven, CDC-based, and batch data pipelines on AWS and Snowflake to support analytics.
Build and optimize data ingestion frameworks leveraging streaming technologies, event-based architectures, and Change Data Capture (CDC) patterns.
Develop and manage cloud-native data solutions preferably AWS that ensure high availability, reliability, scalability, and performance.
Optimize Snowflake data models, queries, workloads, and storage strategies to improve performance and cost efficiency.
Implement and maintain robust data quality, data governance, security, privacy, and compliance controls across the data platform.
Design and manage ETL/ELT processes for integrating data from multiple internal and external sources.
Automate infrastructure provisioning, testing, deployment, and monitoring using CI/CD pipelines and Infrastructure-as-Code practices.
Collaborate closely with solution architects, application development teams, data scientists, business analysts, and key stakeholders to deliver data solutions aligned with business objectives.

Experience and Qualifications:

Strong hands-on experience with Python and SQL for data engineering, transformation, and automation.
Extensive experience designing and implementing data solutions on AWS, including services such as S3, Glue, Lambda, EMR, Kinesis, EventBridge, Redshift, Step Functions, and related data services.
Strong expertise in Snowflake, including data modelling, performance tuning, workload optimization, security, and administration.
Experience building real-time streaming, event-driven, and CDC-based data ingestion architectures.
Solid understanding of ETL/ELT frameworks, distributed data processing, and modern data engineering patterns.
Experience with DevOps practices, CI/CD pipelines, version control systems (e.g., Git), and infrastructure automation.
Knowledge of data governance, data quality frameworks, metadata management, security, and compliance requirements.
Experience working with large-scale structured and unstructured datasets in cloud environments.

What You’ll Love About Working Here:

Exposure to transformational programs in AI & Data portfolio.
Career growth through learning platforms, certifications, and global mobility.
Inclusive culture backed by our “Inclusive Future for All” commitment.
Competitive total rewards and recognition programs.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Apply Now

Refine Your Search

analytics engineer data & analytics jobs in melbourne, vic

Senior Data Engineer - AWS and Snowflake

Data Architect / Engineer

Solution Engineer

Senior Data Architect (enterprise)

Service Scheduling Coordinator, Field Service, APAC Energy & Charging Service

Staff Mobile Engineer, Spend Foundation

Solution Architect

Deployed Product Manager, Health Systems

Senior Data Technical Lead

Senior Site Reliability Engineer, Spend

Senior Engineer

Research Engineer

Experienced Engineer - Irrigation Water Supply Infrastructure

Senior AI Engineer

Data & AI Architect

Senior Product Data Engineer

Machine Learning Engineer

Senior iOS Engineer

Head of Data Centre Operations

Functional Dynamics 365 Supply Chain/FinOps Lead

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