Data Engineer - Cloud Pipelines & Enterprise Analytics

Virginia Polytechnic Institute and State University (VT); City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Employee well-being program

Learning & development programs

Novated leasing & employee discounts

Generous leave & rewards

Job summary

Simonds is seeking a hands-on Data Engineer to design and evolve a modern data platform. You will build and maintain data integration pipelines, support cloud data initiatives and deliver high-quality data to drive business decisions across our enterprise analytics environment.

Collaborating with IT and analytics teams, you will optimise pipelines, improve data quality and automate processes. The role requires 4–6 years in data engineering, strong SQL skills and experience with ETL/ELT tools in

Qualifications

• 4-6 years' experience in a Data Engineering role.
• Experience with ETL/ELT development using SSIS or similar tools.
• Experience with Boomi AtomSphere or another enterprise integration platform (such as MuleSoft, Azure Integration Services or Informatica).
• Strong SQL and T‑SQL skills.
• Experience with cloud data platforms such as Microsoft Fabric, Snowflake or Databricks.
• An understanding of data warehousing, data modelling and API integrations.
• Exposure to Power BI and Python will be highly regarded.
• Strong communication skills and a proactive, solution-focused approach.

Responsibilities

• Design, build and maintain data integration pipelines using Boomi AtomSphere and SSIS and other enterprise integration technologies.
• Develop ETL/ELT processes and SQL-based data models to support reporting and analytics.
• Support the migration of data into modern cloud platforms, including Snowflake, Microsoft Fabric or similar technologies.
• Optimise data pipelines for performance, reliability and scalability.
• Improve data quality through validation, governance and best practice.
• Partner with the Analytics Manager, IT teams and vendors to deliver innovative data solutions.
• Identify opportunities to automate processes and continuously improve the data environment.

Skills

ETL/ELT development

SSIS

Boomi AtomSphere

SQL / T-SQL

Cloud data platforms

Data warehousing & modelling

API integrations

Power BI

Python

Communication

Education

Relevant tertiary qualifications

Tools

MuleSoft

Azure Integration Services

Informatica

Snowflake

Job description

Simonds is seeking a hands-on Data Engineer to design and evolve a modern data platform. You will build and maintain data integration pipelines, support cloud data initiatives and deliver high-quality data to drive business decisions across our enterprise analytics environment.

Collaborating with IT and analytics teams, you will optimise pipelines, improve data quality and automate processes. The role requires 4–6 years in data engineering, strong SQL skills and experience with ETL/ELT tools in