Data Engineer-Unified Data Platform

Xpt Software Australia Pty; New South Wales; On-site; AUD 120,000 - 170,000; Full time

Job summary

Xpt Software Australia Pty is seeking a Data Engineer to design and operate ingestion and transformation of data from multiple sources (CRM feeds, third-party data, digital signals) into the platform, following approved design principles and data governance standards.

The role involves building and maintaining batch and streaming transform pipelines and workflow orchestration, plus data dictionary documentation and cloud storage design for data offload scenarios.

Job description

Demonstrate a sound understanding of:

Ingestion and transformation of data from multiple sourcedomains (e.g. CRM feeds, third-party data, digital signals) into the platformfollowing approved design principles and data governance standards.

Building and maintaining batch and streaming transformpipelines and workflow orchestration.

Data dictionary documentation and cloud object storagedesign for data offload scenarios.

Collaboration with extended team like DevOps, DataArchitects, and operations teams to ensure end-to-end pipeline reliability andobservability.

Decisioning Platform (Pega or equivalent)

Demonstrate a sound understanding of how real-timedecisioning platforms (such as Pega) consume and depend on data engineeringoutputs.

Work with decisioning and analytics teams to ensureaccurate and timely data availability for personalisation and customerengagement use cases.

Participate in cross-team planning and technical reviewsas they relate to data dependencies for decisioning workflows.

Cross-Platform & Delivery

Deliver across multiple use cases simultaneously in anAgile squad model, managing dependencies across platforms and teams.

Author and maintain technical documentation, includingsolution design notes, implementation plans, and deployment runbooks.

Actively participate in sprint ceremonies, backlogrefinement, and cross-team dependency management.

Provide SIT, UAT, and data validation support acrossenvironments; work with QA and operations teams to validate data integrity pre-and post-release.

Skills & Experience

Familiarity with cloud-native data engineering patternsand object storage-based data offload architectures (e.g. AWS S3, Azure DataLake).

Understanding of real-time decisioning platforms such asPega, and how they integrate with data engineering layers.

Exposure to MarTech or Transformation data programs in alarge enterprise or telco context.

Experience with workflow orchestration tools such asApache Airflow or equivalent.

Understanding of data governance frameworks, datalineage, and data quality processes.

Knowledge of Agile or SAFe delivery methodology and working incross-functional squads