In-Demand Snowflake data engineer Jobs

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
Senior Software Engineer, Data Transformation
Snowflake —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
Principal Data Engineer
News Corp —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
Data Engineer
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
6d
Automation Engineer – Data Platform
Duxxel Pty Ltd —Sydney NSW
- From $120,000 a year
- Full-time
- Hybrid work
- DevOps
- SQL
- AWS
Quick Apply
Insights & Visualisation Engineer- 2 positions (12-month Max term contract)
HCF —Sydney NSW
- Full-time
- Salesforce
- SQL
- Analysis skills
- Parental leave
- Pet insurance
4d
BI and Data Platform Analyst
Northern Star Resources Limited —Subiaco WA
- Full-time
- Customer service
- SQL
- Analysis skills
- Health insurance
- Parental leave
Data Scientist
Accenture —Melbourne VIC
- Full-time
- Azure
- SQL
- Machine learning
- On-the-job training
- Parental leave
11d
Senior Data Engineer
Cognizant —Perth WA
- $100,000 a year
- Full-time
- Hybrid work
- SQL
- APIs
- IT
2d
Data Engineer
The GPT Group —Sydney NSW
- Full-time
- SQL
- No degree
- AI
- Parental leave
- Referral program
8h
Sr. Technical Architect, AI/ML
Snowflake —Melbourne VIC
- Full-time
- SQL
- AI
- Communication skills
Staff Data Engineer
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- AWS
- Agile
7d
Staff Data Engineer (Data Platform & Modernisation)
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- AWS
- Agile
Lead Full Stack Engineer
Versent —Perth WA
- Full-time
- DevOps
- ERP systems
- AWS
Senior/Principal Forward Deployed Engineer
Salesforce —Sydney NSW
- Full-time
- Computer Science
- Salesforce
- DevOps
Analytics Engineer
The GPT Group —Sydney NSW
- Full-time
- Engineering
- Databases
- SQL
- Parental leave
- Referral program
2h
EL1 Senior DevOps Engineer
Aged Care Quality and Safety Commission —Greater Adelaide SA
- $122,620 - $139,850 a year
- Call employer
- Azure
- AI
7d
Solutions Architect
InterWorks —Melbourne VIC
- Remote
- Azure
- Computer Science
- SQL
- Health insurance
- Gym membership
Quick Apply
Principal Consultant – AI & Data Science
NTT Ltd —Brisbane QLD
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Senior Customer Engineer - ANZ
Mixpanel —Sydney NSW
- Contract
- Azure
- Sales
- Databases
- Health insurance
- Dental insurance
Quick Apply

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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

Refine Your Search

snowflake data engineer jobs

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

Senior Software Engineer, Data Transformation

Principal Data Engineer

Data Engineer

Automation Engineer – Data Platform

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

BI and Data Platform Analyst

Data Scientist

Senior Data Engineer

Data Engineer

Sr. Technical Architect, AI/ML

Staff Data Engineer

Staff Data Engineer (Data Platform & Modernisation)

Lead Full Stack Engineer

Senior/Principal Forward Deployed Engineer

Analytics Engineer

EL1 Senior DevOps Engineer

Solutions Architect

Principal Consultant – AI & Data Science

Senior Customer Engineer - ANZ

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