Data Engineer ( Informatica IDMC/IICS )

XPT Software Australia Pty Ltd; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

XPT Software Australia Pty Ltd is seeking a Senior Data Engineer in Sydney to design and implement scalable data integration solutions. The role requires hands-on work with Informatica IDMC/IICS, PowerCenter, ETL development, data warehousing, Oracle PL/SQL, and Azure Data Factory to build robust enterprise data pipelines.

You will migrate, transform, and orchestrate data across systems, ensuring data quality and regulatory compliance while collaborating with cross-functional teams to deliver

Qualifications

• Experience with Informatica IDMC/IICS, Informatica PowerCenter, ETL Development, Data Warehousing, Oracle PL/SQL, and Azure Data Factory (ADF).
• Hands-on data integration, migration, transformation, and building scalable enterprise data pipelines.

Responsibilities

• Develop and maintain ETL pipelines for enterprise datawarehouses.
• Migrate and transform data across systems ensuring data quality and governance.
• Collaborate with stakeholders to design and implement scalable data warehousing solutions.

Job description

XPT Software Australia Pty Ltd | Contract

Sydney, Australia | Posted on 11/02/2026

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
  
• We have 120+technocrats in Australia working at our clientlocations.
  
• XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
  
• We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
  

Job Description

Looking for a Senior Data Engineer with strong experience in InformaticaIDMC/IICS, Informatica PowerCenter, ETL Development, Data Warehousing, OraclePL/SQL, and Azure Data Factory (ADF). The candidate should have hands-onexperience in data integration, migration, transformation, and buildingscalable enterprise data pipelines.