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
Applied Statistician (Artificial Intelligence)
Bravada Group —Melbourne VIC
- $90,000 - $120,000 a year
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Quick Apply
4h
Data Analyst
Tata Consultancy Services —Melbourne VIC
- Microsoft Excel
- Data analysis skills
- SQL
Data Platform Engineer
Insignia Financial Ltd —Docklands VIC
- Full-time
- DevOps
- No degree
- Communication skills
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- AI
- Annual leave
- Parental leave
Quick Apply
Senior Data Engineer - Data & AI
Axsys —Melbourne VIC
- Computer science
- Computer Science
- DevOps
- Parental leave
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Business Intelligence Developer - Power BI
Bunnings —Hawthorn East VIC
- Full-time
- Merchandising
- SQL
- Café
- Parental leave
6h
Staff Mobile Engineer, Spend Foundation
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- Engineering
Senior / Lead Analytics Engineer
Insight Timer —Melbourne VIC
- Full-time
- Remote
- Master's degree
- SQL
- Bachelor's degree
Quick Apply
8d
Senior Data Engineer
Munro Footwear Group —Melbourne VIC
- Full-time
- Azure
- Communication skills
2d
Senior Data Analyst
City of Boroondara —City of Boroondara VIC
- $117,401 - $131,096 a year
- Full-time
- Hybrid work
- SQL
- Communication skills
9d
Delivery Lead - Data & AI
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Engineering
- AWS
8d
Senior Site Reliability Engineer, Spend
Airwallex —Melbourne VIC
- Full-time
- Computer Science
- Salesforce
- DevOps
Analytics Lead
Kmart —Chadstone VIC
- Engineering
- SQL
- Bachelor's degree
- Parental leave
1d
Senior Data Engineer - Data & AI
MYOB —Melbourne VIC
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Parental leave
Machine Learning Engineer
Mutinex —South Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- Annual leave
- Work from home
Quick Apply
Research Engineer
4DMedical —Carlton VIC
- Full-time
- Hybrid work
- Engineering
- Research
- AI
- Wellness program
- Parental leave
Quick Apply
Digital Analyst
Medibank —Docklands VIC
- Management
- Agile
- Analytics

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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)

Applied Statistician (Artificial Intelligence)

Data Analyst

Data Platform Engineer

Senior Product Data Engineer

Lead Data Engineer

Senior Data Engineer - Data & AI

Senior AI Engineer, Data Science

Business Intelligence Developer - Power BI

Staff Mobile Engineer, Spend Foundation

Senior / Lead Analytics Engineer

Senior Data Engineer

Senior Data Analyst

Delivery Lead - Data & AI

Senior Site Reliability Engineer, Spend

Analytics Lead

Senior Data Engineer - Data & AI

Machine Learning Engineer

Research Engineer

Digital Analyst

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