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XPT Software Australia Pty Ltd

Data Engineer-Unified data platform

XPT Software Australia Pty Ltd Victoria, Australia

IT Services and IT Consulting · 51-200 employees

8 h ago
data-engineer Senior (5-10 yrs) Full-time Australia
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About the role

The role involves building and maintaining batch and streaming data pipelines while ensuring data integrity and observability. You will collaborate with cross-functional teams to support real-time decisioning platforms and ensure data availability for personalization use cases.

What they look for

Data Engineering Cloud-native data engineering AWS S3 Azure Data Lake Pega Apache Airflow Workflow orchestration Data governance Data lineage Data quality Agile SAFe Batch processing Streaming pipelines Data transformation Object storage

Requirements

Candidates should have 4-8 years of experience in cloud-native data engineering and familiarity with real-time decisioning platforms like Pega. Proficiency in workflow orchestration tools and an understanding of data governance frameworks within an Agile delivery environment are required.

Full description

Demonstrate a sound understanding of:

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

Building and maintaining batch and streaming transform pipelines and workflow orchestration.

Data dictionary documentation and cloud object storage design for data offload scenarios.

Collaboration with extended team like DevOps, Data Architects, and operations teams to ensure end-to-end pipeline reliability and observability.

Decisioning Platform (Pega or equivalent)

Demonstrate a sound understanding of how real-time decisioning platforms (such as Pega) consume and depend on data engineering outputs.

Work with decisioning and analytics teams to ensure accurate and timely data availability for personalisation and customer engagement use cases.

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

Cross-Platform & Delivery

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

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

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

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

Skills & Experience

Familiarity with cloud-native data engineering patterns and object storage-based data offload architectures (e.g. AWS S3, Azure Data Lake).

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

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

Experience with workflow orchestration tools such as Apache Airflow or equivalent.

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

Knowledge of Agile or SAFe delivery methodology and working in cross-functional squads.

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