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.
Skills Required
- Understanding of ingesting and transforming data from multiple source domains into governed data platforms
- Experience building and maintaining batch and streaming transformation pipelines
- Experience with workflow orchestration tools such as Apache Airflow or equivalent
- Understanding of cloud-native data engineering patterns and object storage architectures, including AWS S3 or Azure Data Lake
- Understanding of real-time decisioning platforms such as Pega and their integration with data engineering layers
- Knowledge of data governance, data lineage, and data quality processes
- Experience with data dictionary documentation and technical solution documentation
- Experience supporting SIT, UAT, data validation, QA, and production releases
- Experience working in Agile or SAFe cross-functional squads
- Exposure to MarTech or transformation data programs in a large enterprise or telecommunications context
What We Do
XPT Software Australia Pty Ltd is a technology consulting and software services company serving clients across banking, financial services and insurance, telecommunications, mining, retail, energy, and manufacturing. It provides software development, IT management consulting, business analysis, project and program management, infrastructure support, and offshore development through onsite-offshore delivery. The company also works with cloud computing, big data, mobile applications, UI/UX, algorithms, and IoT.
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