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

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
2d
Product Engineer, Megapack, Energy
Tesla —Cremorne VIC
- Full-time
- Schematics
- Software troubleshooting
- Engineering
Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)
Ember Advisors —Melbourne VIC
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Analysis skills
Quick Apply
Data Platform Engineer
Insignia Financial Ltd —Docklands VIC
- Full-time
- DevOps
- No degree
- Communication skills
Data Analyst
Tata Consultancy Services —Melbourne VIC
- Microsoft Excel
- Data analysis skills
- SQL
Staff Data Engineer (Data Architect) - Sydney/Melbourne
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- APIs
- AI
10d
Platform Engineer
Duxxel Pty Ltd —Melbourne VIC
- From $120,000 a year
- Contract
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
13d
Data Engineer
Service Stream —Melbourne VIC
- Full-time
- Azure
- Computer Science
- SQL
- Annual leave
Database Operations Consultant
Duxxel Pty Ltd —Melbourne VIC
- From $120,000 a year
- Contract
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
14d
GCP Data Engineer - Data Modelling
Insignia Financial Ltd —Docklands VIC
- Full-time
- Computer science
- SQL
- No degree
Senior Manager, Data Analytics Consulting
EPAM Systems, Inc. —Melbourne VIC
- Azure
- SQL
- AWS
Data & Backend Engineer (Tax Technology)
Deloitte —Melbourne VIC
- Azure
- SQL
- APIs
- Parental leave
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Solution Engineer
Snowflake —Melbourne VIC
- Azure
- Computer Science
- Engineering
8d
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Senior Data Engineer, Regulatory Systems
Department of Government Services —Melbourne VIC
- $116,413 - $140,849 a year
- Full-time
- Azure
- AI
13d
Technical Program Manager, Integrations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- EMR systems
- SharePoint
Frontend Developer with React and Node.js
iGreenData —Melbourne VIC
- Full-time
- AWS
- Software development
- APIs
- Health insurance
Data Engineer Lead
PFD Food Services —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AWS
- AI
- Health insurance
- Gym membership
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- AI
- Annual leave
- Parental leave
Quick Apply

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analytics engineer data & analytics jobs near docklands, vic

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

Capgemini -
Melbourne VIC

Apply Now

Job Details

2 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 docklands, vic

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

Product Engineer, Megapack, Energy

Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)

Data Platform Engineer

Data Analyst

Staff Data Engineer (Data Architect) - Sydney/Melbourne

Platform Engineer

Data Engineer

Database Operations Consultant

GCP Data Engineer - Data Modelling

Senior Manager, Data Analytics Consulting

Data & Backend Engineer (Tax Technology)

Senior Product Data Engineer

Solution Engineer

Specialist SA, Developer Transformation

Senior Data Engineer, Regulatory Systems

Technical Program Manager, Integrations

Frontend Developer with React and Node.js

Data Engineer Lead

Lead Data Engineer

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