In-Demand Snowflake data engineer Jobs

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini Sogeti —Sydney NSW
- DevOps
- Administrative experience
- SQL
2d
Lead Data Engineer / Architect | GCP, BigQuery & DBT
Deloitte —Sydney NSW
- Salesforce
- SQL
- AI
- Parental leave
22h
Technical Team Lead (.Net)
ELMO Software Pty Ltd —Sydney NSW
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
- Parental leave
- Employee assistance program
Quick Apply
Analytics Lead
Kmart —Chadstone VIC
- Engineering
- SQL
- Bachelor's degree
- Parental leave
22h
Senior Sales Engineer, ANZ
Alteryx —Sydney NSW
- Full-time
- Azure
- Sales
- SQL
Senior Consultant, Sydney
Practiv —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan
Senior Snowflake Data Architect
Telstra Health —Australia
- Full-time
- Salesforce
- Databases
- AWS
- Health insurance
- Parental leave
Data Engineer
AFL —Australia
- Contract
- Software development
- APIs
- Annual leave
13h

Related jobs to explore

Based on your search for snowflake data engineer

Data and Analytics Engineer, APS5/APS6
Australian Competition & Consumer Commission (ACCC) —Greater Adelaide SA
Tertiary qualifications in statistics, mathematics, computer science, economics, or a related field will be highly regarded.
$93,004 - $115,384 a year
7d
Software Engineer, Data Infrastructure & Acquisition - Melbourne, Australia
Speechify —Melbourne VIC
BS/MS/PhD in Computer Science or a related field. Experience with web crawlers, large-scale data processing workflows is a plus. An Ideal Candidate Should Have.
14d

I want to receive the latest job alert for snowflake data engineer

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

snowflake data engineer jobs near

Data Engineer jobs in Sydney NSW

Senior Engineering Manager jobs in Sydney NSW

Data Engineer jobs in Melbourne Vic

Student Engineer, Mechatronics, Robotics jobs in Sydney Nsw

Data Engineer jobs in Tasmania

Data Engineer jobs in Gold Coast Qld

Data Entry jobs in Perth Wa

Remote Ai Training Data Annotator jobs in Remote

Data Entry Data Analyst Assistant In Health jobs in Prospect Nsw

Network Software Engineer jobs in Sydney Nsw

Enterprise Architect jobs in Sydney Nsw

Software Architect jobs in Sydney Nsw

Software Architect jobs in Melbourne Vic

Software Architect jobs in Parkville Vic

186 Visa, Sponsorship Software Engineer jobs in Sydney Nsw

Software Engineer jobs in Canberra Act

Data Entry Work From Home jobs in Sydney Nsw

Data Engineer jobs in Williamtown Nsw

Data Engineer jobs in Canberra Act

Data Engineer jobs in Newcastle Nsw

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

Capgemini Sogeti -
Sydney NSW

Apply Now

Job Details

2 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

Refine Your Search

snowflake data engineer jobs

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

Lead Data Engineer / Architect | GCP, BigQuery & DBT

Technical Team Lead (.Net)

Analytics Lead

Senior Sales Engineer, ANZ

Senior Consultant, Sydney

Product Manager

Senior Snowflake Data Architect

Data Engineer

Related jobs to explore

I want to receive the latest job alert for snowflake data engineer

Related Searches

Explore jobs in more locations

Job Description

Experience and Qualifications:

What You’ll Love About Working Here:

Job Seeker Tools

Employer Tools

Browse

Stay Connected