Data Engineer - Senior

The opportunity

We are looking for an energetic data engineer who can help by developing and maintaining the data engineering capability supporting operational reporting, system integrations, AI solutions and business services across Worldline Services Australia. The role also provides specialist data engineering expertise to support the Corporate IT Transition Programme, ensuring business and operational data is securely migrated while maintaining data quality and integrity.

Day-to-day responsibilities

Key Accountabilities

Data Engineering
• Design, develop and maintain enterprise data pipelines.
• Develop ETL and ELT processes supporting operational systems.• Build reusable data integration components.
• Optimise data processing and performance.
• Maintain scalable and secure data architectures.

Data Integration
• Develop integrations between operational platforms.
• Design APIs and data exchange processes.
• Support ServiceNow integrations.
• Support customer portal data services.
• Maintain integration documentation.

Corporate IT Transition
• Support discovery of business and operational data.
• Develop data extraction and transformation processes.
• Validate migrated data for completeness and accuracy.
• Support reconciliation activities.
• Work with transition teams to resolve data quality issues.
• Assist with migration planning and execution.

BAU Operational Support
• Support operational reporting platforms.
• Develop new data services.
• Investigate production data issues.
• Implement enhancements.
• Support operational change activities.

Data Quality & Governance
• Develop data quality controls.
• Monitor data integrity.
• Implement validation and reconciliation processes.
• Support information governance.
• Maintain metadata and technical documentation.

AI & Analytics Enablement
• Develop data services supporting AI initiatives.
• Prepare structured datasets for AI solutions.
• Support intelligent automation platforms.
• Enable operational dashboards and analytics.
• Assist with future data platform improvements.

Who are we looking for

Skills & Experience

Essential
• Significant experience in data engineering.
• Enterprise data pipelines.• SQL and ETL/ELT.
• Enterprise integrations.
• Data modelling.
• Operational reporting.
• Strong analytical and stakeholder skills.

Highly Desirable
• Azure or AWS data platforms.
• Microsoft Fabric.
• Azure Data Factory.
• Power BI.
• Python.
• AI data preparation.
• ServiceNow integrations.
• Payments or financial services.

Qualifications

Essential
• Degree in Information Technology, Computer Science, Data Engineering or equivalent experience.

Desirable
• Microsoft Data Engineering certification.
• Azure Data Engineer Associate.
• AWS Data Analytics certification.
• Agile certification.