Senior Data Engineer: Scalable Pipelines & AI Enablement

Payments To Grow Your World; City of Melbourne; Vor Ort; AUD 120.000 - 170.000; Vollzeit

Zusammenfassung

Worldline Service Australia is seeking a data engineer to design, build and maintain enterprise data pipelines, integrations and datasets to support operational reporting, AI-enabled services and corporate IT transitions.

You will work on data migration validation, data quality governance, and scalable data architectures while collaborating with cross-functional teams to deliver reliable data solutions for Worldline’s Australian operations.

Qualifikationen

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

Aufgaben

• 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.
• Design APIs and data exchange processes; support ServiceNow integrations.
• Support discovery, extraction, transformation and validation for data migrations.
• Support reporting platforms and develop new data services.
• Implement data quality controls and governance; monitor data integrity.
• Develop data services to enable AI initiatives and dashboards.

Kenntnisse

Data engineering

Data pipelines

SQL

ETL/ELT

Enterprise integrations

Data modelling

Operational reporting

Stakeholder management

Ausbildung

Degree in IT/CS/Data Engineering

Tools

Azure/AWS data platforms

Microsoft Fabric

Azure Data Factory

Power BI

Python

AI data preparation

ServiceNow integrations

Jobbeschreibung

Worldline Service Australia is seeking a data engineer to design, build and maintain enterprise data pipelines, integrations and datasets to support operational reporting, AI-enabled services and corporate IT transitions.

You will work on data migration validation, data quality governance, and scalable data architectures while collaborating with cross-functional teams to deliver reliable data solutions for Worldline’s Australian operations.