In-Demand Capgemini Jobs

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
4d
Duck Creek Policy Developer
Capgemini Sogeti —Sydney NSW
- Hybrid work
- Management
- APIs
- AI
SAC Planning Architect
Capgemini —Melbourne VIC
- Hybrid work
- Presentation skills
- Budgeting
- AI
13d
Senior Cloud Engineer - AWS
Capgemini Sogeti —Melbourne VIC
- DevOps
- AWS
- Scripting
Senior Network Engineer (Data Center Networks)
Capgemini —Sydney NSW
- Hybrid work
- Administrative experience
- APIs
- AI
SAP FICO Consultant
Capgemini —Melbourne VIC
- Hybrid work
- Communication skills
Senior Consultant - Corporate Experience
Capgemini —Melbourne VIC
- Azure
- Business development
- AI
10d
ServiceNow Architect
Capgemini Sogeti —Melbourne VIC
- Hybrid work
- Presentation skills
- Communication skills
ADM Practice Head
Capgemini —Melbourne VIC
- Azure
- AI
- Leadership
SAP Finance Data Analyst
Capgemini —Melbourne VIC
- Hybrid work
- Communication skills
1d
SAP FICO Functional Consultant
Capgemini Sogeti —Melbourne VIC
- Hybrid work
- Communication skills
12d
Senior Functional with SAP SD and MM
Capgemini Sogeti —Melbourne VIC
SAP EWM Developer
Capgemini Sogeti —Melbourne VIC
- AI
Senior Project Manager - Dynamics Customer Engagement
Capgemini Sogeti —Sydney NSW
- Hybrid work
- Azure
- Management
- PMP
2d
SAP Data Migration Lead
Capgemini Sogeti —Melbourne VIC
- Hybrid work
- Computer Science
- Master's degree
- SQL
3d
Senior Consultant, Public Sector
Capgemini —Brisbane QLD
- Azure
- Analysis skills
- Agile
1d
Tech lead for Digital bank and Integrations
Capgemini —Sydney NSW
- Hybrid work
- Azure
- Management
3d

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Duck Creek Policy Developer
Capgemini Sogeti —Sydney NSW
Perform enhancements, upgrades, and support activities across Duck Creek applications. The successful candidate will be responsible for designing, developing,…

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

Capgemini -
Melbourne VIC

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Job Details

4 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

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capgemini jobs

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

Duck Creek Policy Developer

SAC Planning Architect

Senior Cloud Engineer - AWS

Senior Network Engineer (Data Center Networks)

SAP FICO Consultant

Senior Consultant - Corporate Experience

ServiceNow Architect

ADM Practice Head

SAP Finance Data Analyst

SAP FICO Functional Consultant

Senior Functional with SAP SD and MM

SAP EWM Developer

Senior Project Manager - Dynamics Customer Engagement

SAP Data Migration Lead

Senior Consultant, Public Sector

Tech lead for Digital bank and Integrations

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