In-Demand Snowflake data engineer Jobs

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Data Engineer

Aware Super -
Sydney NSW

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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 Engineering Technical Coach

ML Engineer

Forward Deployed AI Engineer

Senior DevOps AI Engineer

Platform Engineer

Principal - Technical Business Analyst, Data Products & Platforms

Senior Forward Deployed Engineer

Fabric Engineer

Azure Cloud Platform Engineer

Specialist Data Compliance

Consultant - Data & Analytics (Open)

AI & Data Architect (Enterprise AI & Data Platforms)

Data Engineering & Platforms Team Leader

Principal Data Engineer

Senior Data Engineer, CX

Delivery Lead - Data & AI

Software Engineer, DevOps

Senior AI Engineer

Informatica Tech Lead

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