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
3d
Senior Data Engineer
Munro Footwear Group —Melbourne VIC
- Full-time
- Azure
- Communication skills
3d
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
3d
Microsoft Cloud and Security Engineer
Department of Energy, Environment and Climate Action —Melbourne VIC
- Part-time
- Hybrid work
- Azure
- Administrative experience
- AWS
1d
Senior Product Manager
News Corp —Melbourne VIC
- Full-time
- Hybrid work
- Product management
- AI
- Café
- Parental leave
14d
Data Modeler
Tata Consultancy Services —Melbourne VIC
- Hospitality
- SQL
- Analytics
Functional Dynamics 365 Supply Chain/FinOps Lead
Deloitte —Melbourne VIC
- Communication skills
- Parental leave
Head of GTM Operations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- SQL
- AI
- Work from home
- Parental leave
Solutions Consultant
MoEngage Inc —Melbourne VIC
- SQL
- APIs
- AI
Quick Apply
10d
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan
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 Prototyping Engineer, Prototyping and AI Customer Engineering
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AI
- Communication skills
2d
Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- Product management
- APIs
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
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
Senior Data Modeler
Tata Consultancy Services —Melbourne VIC
- CRM software
- SQL
- Analytics
Senior Product Analyst
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- Communication skills
- Analytics
Senior Product Designer
Cadmus —Melbourne VIC
- Full-time
- Hybrid work
- Research
- Bachelor's degree
- Work from home
Quick Apply
Senior Data Governance Analyst, Regulatory Systems
Department of Government Services —Melbourne VIC
- $116,413 - $140,849 a year
- Full-time
- Azure
- No degree
11d

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

Capgemini -
Melbourne VIC

Apply Now

Job Details

3 days 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

Refine Your Search

analytics engineer data & analytics jobs in melbourne vic

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

Senior Data Engineer

Deployed Product Manager, Health Systems

Microsoft Cloud and Security Engineer

Senior Product Manager

Data Modeler

Functional Dynamics 365 Supply Chain/FinOps Lead

Head of GTM Operations

Solutions Consultant

Product Manager

Senior / Principal Mining Consultant (Strategy Optimization)

Senior Prototyping Engineer, Prototyping and AI Customer Engineering

Principal Product Manager

Lakebase Specialist Sales

Energy Market Analyst - Australia

Senior Cloud Platform Engineer

Senior Data Modeler

Senior Product Analyst

Senior Product Designer

Senior Data Governance Analyst, Regulatory Systems

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