In-Demand Snowflake data engineer Jobs

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
Data Engineer
Followmont Transport —Brisbane QLD
- Full-time
- Azure
- SQL
- APIs
- Free parking
- Employee assistance program
Data Engineer, AI and Data, Technology Consulting
EY —Melbourne VIC
- Azure
- SQL
- AWS
- Parental leave
13d
Data Engineer (HCM)
Wenco (a Hitachi Construction Machinery subsidiary) —Eight Mile Plains QLD
- Full-time
- Azure
- SQL
- AWS
Quick Apply
Senior Software Engineer, Data Transformation
Snowflake —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
Consultant - Data Engineer
Intelligen Group —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Work from home
- Free food
Quick Apply
Data Engineering Manager (Snowflake/Databricks) | Sydney
Deloitte —Sydney NSW
- Azure
- Databases
- SQL
- Parental leave
5d
Principal Data Engineer
News Corp —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
Principal Data Engineer
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
Senior Data Engineer
Ippon Technologies —Melbourne VIC
- Hybrid work
- SQL
- Software development
Quick Apply
Data Engineer
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
6d
Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini Sogeti —Sydney NSW
- DevOps
- Administrative experience
- SQL
Staff Software Development Engineer - Data Acquisition
WEX Inc. —Melbourne VIC
- Full-time
- AWS
- APIs
- Financial services
9d
Principal Data Engineer
Ippon Technologies —Melbourne VIC
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick Apply
Automation Engineer – Data Platform
Duxxel Pty Ltd —Sydney NSW
- From $120,000 a year
- Full-time
- Hybrid work
- DevOps
- SQL
- AWS
Quick Apply
Principal Data & AI Platforms
BHP —Western Australia
- Azure
- DevOps
- AWS
- Parental leave
3d
Insights & Visualisation Engineer- 2 positions (12-month Max term contract)
HCF —Sydney NSW
- Full-time
- Salesforce
- SQL
- Analysis skills
- Parental leave
- Pet insurance
4d
Data Scientist
Accenture —Melbourne VIC
- Full-time
- Azure
- SQL
- Machine learning
- On-the-job training
- Parental leave
10d
Senior Data Engineer
Cognizant —Perth WA
- $100,000 a year
- Full-time
- Hybrid work
- SQL
- APIs
- IT
1d
Senior Data Engineer - Data Platform
Domain Group —Pyrmont NSW
- Computer Science
- Engineering
- SQL
- Annual leave

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

Capgemini -
Melbourne VIC

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Job Details

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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snowflake data engineer jobs

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

Data Engineer

Data Engineer, AI and Data, Technology Consulting

Data Engineer (HCM)

Senior Software Engineer, Data Transformation

Consultant - Data Engineer

Data Engineering Manager (Snowflake/Databricks) | Sydney

Principal Data Engineer

Principal Data Engineer

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Data Engineer

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

Staff Software Development Engineer - Data Acquisition

Principal Data Engineer

Automation Engineer – Data Platform

Principal Data & AI Platforms

Insights & Visualisation Engineer- 2 positions (12-month Max term contract)

Data Scientist

Senior Data Engineer

Senior Data Engineer - Data Platform

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