Senior Data Engineer: Build Data Pipelines & AI Enablement

Worldline; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Worldline Service Australia is seeking a skilled Data Engineer to design, develop and maintain enterprise data pipelines and reporting datasets across our payment services platform. You will enable operational reporting, system integrations, and AI-enabled services while upholding data quality, governance and security standards.

You will work with Azure/AWS data platforms, data integration tools and BI solutions, supporting Enterprise IT Transition and ongoing BAU operations in an expanding

Qualifications

• Significant experience in data engineering and enterprise data pipelines.
• Strong SQL and ETL/ELT skills with experience in data modelling.
• Experience with enterprise integrations and operational reporting.
• Analytical mindset with stakeholder engagement capabilities.
• Nice-to-have: cloud platforms (Azure/AWS) and BI tooling.

Responsibilities

• Design, develop and maintain enterprise data pipelines.
• Develop ETL/ELT processes supporting operational systems.
• Build reusable data integration components.
• Optimise data processing and performance.
• Maintain scalable and secure data architectures.
• Develop integrations between operational platforms and design APIs.
• Support data migration, validation and reconciliation for transitions.
• Provide BAU support for operational reporting platforms.
• Develop data services for AI initiatives and dashboards.

Skills

Data engineering

Data pipelines

SQL/ETL

Data modelling

Operational reporting

Analytics

Stakeholder skills

Education

Degree in IT/CS/Data Engineering

Tools

Azure

AWS

Power BI

Python

Azure Data Factory

Microsoft Fabric

ServiceNow integrations

Job description

Worldline Service Australia is seeking a skilled Data Engineer to design, develop and maintain enterprise data pipelines and reporting datasets across our payment services platform. You will enable operational reporting, system integrations, and AI-enabled services while upholding data quality, governance and security standards.

You will work with Azure/AWS data platforms, data integration tools and BI solutions, supporting Enterprise IT Transition and ongoing BAU operations in an expanding