In-Demand Snowflake data engineer Jobs

Senior Data Engineer - AWS and Snowflake
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
2h
Staff/Lead Data Engineer
EQL —Cremorne VIC
- $180,000 - $220,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- Communication skills
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Varonis —Sydney NSW
- Azure
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Ippon Technologies —Melbourne VIC
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Business Intelligence Lead
Scape Australia —Sydney NSW
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11d
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
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Senior Engineering Manager / Chapter Lead (Data Engineering)
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
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3d
Machine Learning Engineering Manager
iCare External —Sydney NSW
- DevOps
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Gigacomm —Brisbane QLD
- Full-time
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- Azure
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Senior Solutions Engineer
Mixpanel —Sydney NSW
- Contract
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11d
Business Intelligence & Reporting Consultant
I-MED Radiology Network —Sydney NSW
- Full-time
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Machine Learning Engineering Manager
icare —Sydney NSW
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Migrations Solutions Architect, Sales
Snowflake —Sydney NSW
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Senior Sales Engineer, ANZ
Alteryx —Sydney NSW
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Manager, Solution Engineering
Snowflake —Melbourne VIC
- Computer Science
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- AWS
1d
Platform Manager (ML)
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Free parking
- Employee stock purchase plan
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan

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Senior Data Engineer - AWS and Snowflake

Capgemini -
Melbourne VIC

Apply Now

Job Details

2 hours 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, 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

snowflake data engineer jobs

Senior Data Engineer - AWS and Snowflake

Staff/Lead Data Engineer

Principal Data Engineer

Data & AI Architect

Data Modeler

Regional Deployment Engineer

Lead Data Engineering Consultant

Business Intelligence Lead

Senior Consultant - Data & Analytics (Open)

Senior Engineering Manager / Chapter Lead (Data Engineering)

Machine Learning Engineering Manager

Senior Data Analyst

Senior Solutions Engineer

Business Intelligence & Reporting Consultant

Machine Learning Engineering Manager

Migrations Solutions Architect, Sales

Senior Sales Engineer, ANZ

Manager, Solution Engineering

Platform Manager (ML)

Product Manager

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