Data Specialist

• Designing and building scalable and secure data pipelines and integration solutions, including ingestion, transformation, and delivery of high-quality data across the organisation’s systems and environments. Including, but not limited to:

• Establish and maintain data validation, transformation, and mapping processes in line with business rules.
• Develop and manage data schemas, metadata, and documentation to ensure quality and consistency
• Support integration of clean, validated data into downstream systems
• Leading the technical implementation of various data tools, ensuring integration into the organisation’s data ecosystem supports the intended architecture, data flows, governance controls, and user access models.
• Contributing to enterprise data architecture artefacts including conceptual, logical and physical data models, data flow diagrams, integration maps, and architectural patterns aligned with modern cloud-first principles.
• Developing proofs-of-concept and production-ready solutions leveraging Microsoft Fabric’s services such as OneLake, Dataflows, Pipelines, and Synapse.
• Documenting technical design decisions, data transformation logic, metadata lineage, and operational procedures to ensure transparent, repeatable, and supportable solutions.

• Proven experience (minimum 10 years) in roles encompassing data engineering and data integration.
• Proficiency in best practice data management, data integration, data governance, and data engineering.
• Proven experience in implementing modern data platforms, tools, and languages (including, Microsoft Azure Platform).
• Demonstrated hands-on experience with implementing and using data management platforms (e.g. Microsoft Fabric).
• Experience in designing and implementing master data management practices.
• Demonstrated experience and familiarity with data cataloguing tools (e.g., Microsoft Purview).
• Exposure to modern DevOps practices and working in a project environment.
• Experience with managing structured and unstructured data throughout the data lifecycle.
• Knowledge of Queensland Government Enterprise Architecture Framework.
• Experience in contributing to data architecture design and development.
• Demonstrated experience in API integration (REST APIs, JSON/XML, authentication protocols like OAuth2).
• Proficiency in scripting languages such as Python or PowerShell for workflow automation.
• Strong understanding of data validation and quality assurance, including implementing role-based controls and exception handling.
• Proven experience in data modelling, including designing and managing relational and dimensional schemas to support ingestion, transformation, and integration into analytical and operational systems.

Hudson