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
17h
Senior Data Engineer
Munro Footwear Group —Melbourne VIC
- Full-time
- Azure
- Communication skills
2d
Staff Software Engineer- Payments Technology
Commonwealth Bank —Melbourne VIC
- Full-time
- AWS
- APIs
- AI
23h
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
Revenue Systems Engineer
FrankieOne —Melbourne VIC
- Contract
- Hybrid work
- APIs
- AI
18h
Manager, Product Line - Australia
SHOALS TECHNOLOGIES —Carlton VIC
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick Apply
4d
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
Junior Quality Assurance Engineer
Finity —Melbourne VIC
- Full-time
- Azure
- Computer Science
- SQL
10h
Microsoft Cloud and Security Engineer
Department of Energy, Environment and Climate Action —Melbourne VIC
- Part-time
- Hybrid work
- Azure
- Administrative experience
- AWS
1d

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Based on your search for analytics engineer data & analytics

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
Extensive experience designing and implementing data solutions on AWS- including services such as S3, Glue, Lambda, EMR, Kinesis, MSK, Flink EventBridge,…
3d
Applied Statistician (Artificial Intelligence)
Bravada Group —Melbourne VIC
Research and apply emerging statistical techniques relevant to artificial intelligence, predictive analytics and data science.
$90,000 - $120,000 a year
Quick Apply
17h

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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

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analytics engineer data & analytics jobs in melbourne vic

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

Applied Statistician (Artificial Intelligence)

Senior Data Engineer

Staff Software Engineer- Payments Technology

Deployed Product Manager, Health Systems

Revenue Systems Engineer

Manager, Product Line - Australia

Senior / Principal Mining Consultant (Strategy Optimization)

Senior Engineer

Junior Quality Assurance Engineer

Microsoft Cloud and Security Engineer

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