Data Platform Engineer. This permanent role and focuses on designing, building, and managing advanced data platforms to support analytics and business operation

Client Details

This large organisation plays a key role in the transport and distribution industry. With a focus on innovation and operational excellence, the company offers a supportive environment for professional growth

Description

Purpose of the Role

• You will be responsible for maintaining and evolving an Azure-based Microsoft Fabric Data Platform.
• You will ensure the stability, performance, and scalability of the platform and its associated data pipelines, models, and data products.
• You will help enable high-quality analysis and data-driven decision-making by ensuring the Data Platform is reliable, well-structured, secure, and responsive to business needs.

Key Responsibilities

• Collaborate with analysts, business users, and vendors to improve data delivery performance and usability.
• Proactively identify opportunities to streamline platform operations and support new use cases.
• Oversee the operation and optimisation of the Azure Fabric Data Platform, including configuration, capacity management, monitoring, security, and automation of recurring tasks.
• Design cloud-native architecture to support structured, semi-structured, and unstructured data workloads.
• Build and maintain data ingestion and transformation pipelines that ensure accurate and timely delivery of data.
• Ensure the platform effectively supports downstream analytics tools, reporting environments, APIs, and other data services.
• Ensure the data platform is secure, performant, scalable, and available to meet enterprise-grade non-functional requirements.
• Uphold standards for data security, access control, documentation, and data quality monitoring.
• Contribute to the implementation of the organisation's Information Governance Framework.
• Promote architectural standards, reusable patterns, and best practices across teams.
• Provide training and support to end-users on platform capabilities, reports, and data interpretation, fostering a data-driven culture across the organisation.

Profile

TECHNICAL SKILLS & EDUCATION REQUIRED

• Azure Fabric
• Azure SQL Server
• OneLake
• Fabric Data Factory
• Azure Purview
• Azure DevOps
• Apache Spark

• A degree in a relevant field such as Data Science, Computer Science, Information Technology, Mathematics, or Engineering, or equivalent experience.
• 5+ years of technical experience designing, building and managing BI and data product workloads.
• Demonstrated proficiency with modern data platform skills:
• Programming languages: Python, SQL (and variants), PowerShell, Power Query
• Data Ingestion: Azure Data Factory, SQL Server Integration Services, Databricks, Apache spark, or equivalent tooling.
• DevOps: Enterprise level CI/CD pipelines, Infrastructure-as-Code behaviours, Azure DevOps
• Build secure, resilient data integration for APIs , event-driven, and batch ETL/ELT process across ERP , IOT and SaaS application
• Demonstratable knowledge of data governance, metadata management and data quality frameworks.
• Demonstrable understanding of modern cloud and big data technology.
• Experience in Data Warehouse migrations.
• Demonstrated experience with Microsoft Azure technologies including:
• Experience with ITIL, Agile and DevOps methodologies.
• Strong analytical and entrepreneurial problem-solving skills, with experience in troubleshooting and optimising data product workloads.
• Excellent written and verbal communication skills for collaborating with cross-functional teams and conveying technical concepts to non-technical stakeholders.

Job Offer

• Competitive salary
• Permanent role with long-term career prospects.
• Opportunities to work on cutting-edge data technologies.
• Supportive company culture with a focus on innovation.
• Additional benefits to be confirmed during the hiring process.

If you are passionate about data engineering and want to make a significant impact in the transport and distribution industry, apply now

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Daniel Gonzalez on +61 8 9215 9520.