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

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
1d
Senior Data Engineer
Munro Footwear Group —Melbourne VIC
- Full-time
- Azure
- Communication skills
17h
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
1d
Data Modeler
Tata Consultancy Services —Melbourne VIC
- Hospitality
- SQL
- Analytics
Senior Experience Designer
Concentrix —Melbourne VIC
- Full-time
- Research
- Presentation skills
- AI
5d
Technical Account Manager
Omnicom Group —Melbourne VIC
- Full-time
- AI
Energy Market Analyst - Australia
Powerline —Melbourne VIC
- Full-time
- Hybrid work
- Sales
- SQL
- Analysis skills
Senior Cloud Platform Engineer
Pyramid Global Technologies —Melbourne VIC
- Azure
- AWS
Operational Transport Modeller
Arup —Melbourne VIC
- Microsoft Excel
- Analysis skills
- Communication skills
- Profit sharing
- Parental leave
Senior Product Designer
Cadmus —Melbourne VIC
- Full-time
- Hybrid work
- Research
- Bachelor's degree
- Work from home
Quick Apply
Senior Product Manager
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Product management
- AI
- Café
- Parental leave
14d
Solutions Consultant
MoEngage Inc —Melbourne VIC
- SQL
- APIs
- AI
Quick Apply
8d
Manager, Product Line - Australia
SHOALS TECHNOLOGIES —Carlton VIC
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick Apply
2d
Senior / Principal Mining Consultant (Strategy Optimization)
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Life insurance
Quick Apply
Senior Engineer
Downer Group —Melbourne VIC
- Communication skills
Systems Engineer
Signify —Melbourne VIC

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Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)

Capgemini -
Melbourne VIC

Apply Now

Job Details

1 day 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, MSK, Flink 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

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analytics engineer data & analytics jobs in melbourne, vic

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)

Senior Data Engineer

Deployed Product Manager, Health Systems

Data Modeler

Senior Experience Designer

Technical Account Manager

Energy Market Analyst - Australia

Senior Cloud Platform Engineer

Operational Transport Modeller

Senior Product Designer

Senior Product Manager

Solutions Consultant

Manager, Product Line - Australia

Senior / Principal Mining Consultant (Strategy Optimization)

Senior Engineer

Systems Engineer

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