In-Demand Snowflake data engineer Jobs

Data Engineer
Aware Super —Sydney NSW
- Azure
- Computer Science
- Engineering
- Work from home
- Gym membership
Data Engineer
Accenture —Ballarat VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Parental leave
Senior Data Engineer
Data Prowess —Sydney NSW
- $110,000 - $120,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick Apply
2d
Data Engineer (Big Data & Azure Cloud)
Westpac Group —Sydney NSW
- Full-time
- Azure
- SQL
- APIs
Data Engineer
RATP Dev Australia —Docklands VIC
- Full-time
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- English
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6d
DataOps Engineer
Capgemini —Newcastle NSW
- Hybrid work
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Data Scientist
Duxxel Pty Ltd —Perth WA
- From $120,000 a year
- Contract
- Hybrid work
- Azure
- Master's degree
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2d
Specialist Data Compliance
The Perth Mint —Perth Eastern Suburbs WA
- $130,000 - $135,000 a year
- Full-time
- Azure
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Database Engineer
ELMO Software Pty Ltd —Sydney NSW
- Full-time
- Hybrid work
- Administrative experience
- SQL
- AWS
- Parental leave
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Quick Apply
AWS API Engineer / Data Architect
Capgemini —Newcastle NSW
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Senior Technical Support Engineer, Observe by Snowflake
Snowflake —Barangaroo NSW
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Capgemini —Newcastle NSW
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Pyramid Global Technologies —Sydney NSW
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Scape Australia —Sydney NSW
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6d
Python Developer
Duxxel Pty Ltd —Perth WA
- From $100,000 a year
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- Master's degree
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Quick Apply
2d
Azure Data Solution Architect
Capgemini —Newcastle NSW
- Hybrid work
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Software Engineer â€“ Data & AI Platforms - Financial Markets
The Argyle Network —Sydney NSW
- $140,000 a year
- Full-time
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Data Engineer (HCM)
Wenco (a Hitachi Construction Machinery subsidiary) —Eight Mile Plains QLD
- Full-time
- Azure
- SQL
- AWS
Quick Apply
Data Consultant, Melbourne
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Communication skills
Quick Apply
1d

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Data Engineer

Aware Super -
Sydney NSW

Apply Now

Job Details

Benefits

Work from home
Gym membership

Qualifications

Data modelling
Azure
Computer Science
Engineering
Data structures
Microsoft SQL Server
SQL
Payroll
Workday

Full Job Description

Your SUPER career starts here

As one of Australia's largest profit-for-members superannuation funds, we always remember whose money it is and whose future we're looking after. We work to reimagine a new way forward for our 1.1 million members and their communities. Each other. And our world.

Sound good? Learn more about us and what we do at awaresuper.com.au

Your New Role

As a Data Engineer, you will design, build, and maintain scalable and secure data pipelines supporting the flow of information into and out of the Workday platform. You’ll collaborate with integration architects, business analysts, and stakeholders to ensure data is transformed, validated, and delivered to support reporting, compliance, and operational efficiency.

Key Responsibilities:

Develop ETL data pipelines between Workday and other enterprise systems.
Lead legacy data extraction, cleansing, mapping, and loading into Workday.
Collaborate with reporting teams to support analytics and compliance.
Implement validation rules and monitoring tools for data quality.
Align data flows with business processes and technical standards.
Ensure data handling meets security policies and regulatory requirements.
Maintain documentation of data models and pipeline logic.
Build and maintain data models for reporting and analytics.
Contribute to the Technical Data Dictionary and Data Catalogue.

To be successful in this role you will have the following skills and experience:

Degree in Computer Science, Data Engineering, Information Systems, or related field.
Deep understanding of data architecture, ETL processes, and data modelling.
Familiarity with Workday data structures (HCM, Payroll, Finance).
Experience with mission-critical data platforms and automation.
Strong SQL, Python, and ETL tool skills.
Experience with Azure SQL Server Databases and/or Snowflake.
Certifications in Workday Integration, Data Conversion, Reporting, and Analytics (desirable).
Excellent communication and client focus.

Employee Experience

We understand that not everyone works in the same ways. We value flexibility and know that it helps you manage work and life.

Why you’ll love working at Aware Super:

Have a super impact: You’ll think big and care deeply to help more Australians live their best lives in retirement.
Be part of something super unique: You’ll work to reshape super and retirement. We’ll invest in your growth and give you the opportunity to work on career-defining projects.
Work with super humans: You’ll work hard and innovate, but also have some fun along the way.
Feel super cared for: We’ll support your wellbeing today, as well as in the future. Enjoy a health & fitness reimbursement, work from home technology reimbursement, salary continuance insurance and organisation-wide meeting free zones.

The Aware Super difference

At Aware Super, we believe that diversity of thought, background and experience creates better outcomes for our members and communities and a stronger sense of belonging for our people. We value a diverse workplace and strongly encourage women, Aboriginal & Torres Strait Islander people, people with cultural and linguistic diversity, LGBTQIA+ individuals, people with disabilities, and mature-age individuals to apply. We are proud to be consistently recognised as an Employer of Choice for Gender Equality and our CEO, Deanne Stewart, is a Pay Equity Ambassador.

Apply Now

Refine Your Search

snowflake data engineer jobs

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer (Big Data & Azure Cloud)

Data Engineer

DataOps Engineer

Data Scientist

Specialist Data Compliance

Database Engineer

AWS API Engineer / Data Architect

Senior Technical Support Engineer, Observe by Snowflake

Databricks Data Solution Architect

Planning Analytics Engineer

Analytics Engineer

Python Developer

Azure Data Solution Architect

Software Engineer â€“ Data & AI Platforms - Financial Markets

Data Engineer (HCM)

Data Consultant, Melbourne

Consultant - Data & Analytics

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