Payroll Data Engineer (Hybrid) - Compliance & Modeling

Synergie Australia; Sydney; Hybrid; AUD 129,000 - 142,000; Full time

Benefits offered by this job

Hybrid working environment

Collaborative payroll compliance team

Job summary

Synergie Australia is seeking a Payroll Data Developer for a 12-month contract in Sydney or Melbourne (Hybrid). You will design and maintain payroll data models and datasets to support payroll compliance and remediation initiatives, working with Payroll, IR, Legal and Technology teams to ensure accuracy and auditable processes.

The role emphasizes strong SQL, data modelling, and familiarity with Australian payroll rules.

Qualifications

• Demonstrated experience in data engineering, payroll analytics or data modelling.
• Strong SQL and data modelling capabilities.
• Knowledge of Australian payroll legislation, Awards and Enterprise Agreements.
• Experience supporting payroll compliance or remediation programs.
• Exposure to Azure Data Factory, Databricks, Snowflake and Power BI.

Responsibilities

• Design and develop payroll data models and calculation-ready datasets.
• Validate, reconcile and perform quality assurance on payroll data.
• Test ETL/ELT processes across payroll and workforce systems.
• Support payroll compliance reviews and remediation programs.
• Partner with stakeholders to deliver data-driven compliance outcomes.
• Identify opportunities for process improvement and automation.

Skills

Data engineering

Payroll analytics

Data modelling

SQL

Azure Data Factory

Databricks

Snowflake

Power BI

Stakeholder engagement

Analytical thinking

Tools

Azure Data Factory

Databricks

Snowflake

Power BI

Job description

Synergie Australia is seeking a Payroll Data Developer for a 12-month contract in Sydney or Melbourne (Hybrid). You will design and maintain payroll data models and datasets to support payroll compliance and remediation initiatives, working with Payroll, IR, Legal and Technology teams to ensure accuracy and auditable processes.

The role emphasizes strong SQL, data modelling, and familiarity with Australian payroll rules.