Our mission is to make fresh fruits and vegetables a more loved and essential part of everyone's life.
Perfection Fresh is one of Australia’s largest privately owned fresh produce companies that’s been on an exciting journey of innovation and growth since 1978.
We’re an Australian-based business that grows, packs, and markets fresh produce both domestically and internationally. You’ll recognize our produce – Qukes®, Broccolini®, Calypso® mangoes, and more.
Our history 45-year history is one of continuous progress. We’re the market leader in our field and we’ve been listed on the Australian Financial Review’s top 100 private companies in Australia.
We employ more than 2,000 people across a portfolio of farming sites, high-tech production facilities, research, corporate offices, and national logistics operations.
Learn more about us and discover other exciting opportunities at www.perfection.com.au.
Job Description
Drive the future of data at Perfection Fresh!
We’re looking for an experienced Enterprise Data Platform Lead to design, build, and manage our cutting-edge data platform powered by Microsoft Fabric. This is a pivotal role in delivering our Data Strategy, enabling secure, high-quality, and scalable data solutions that power reporting, analytics, AI/ML, and operational excellence across the organisation.
What you’ll do
Lead the development and management of the enterprise data platform built on Microsoft Fabric.
Design and implement robust, scalable data pipelines and models to support diverse business needs.
Champion best practices in data engineering, governance, and security.
Drive innovation in data architecture and enable enterprise-wide decision-making through trusted, high-performance data solutions.
Desired Skills and Experience
Desired Skills and Experience
Data Engineering Leadership
Minimum 5 years’ experience in data engineering with proven leadership in Microsoft data technologies.
Microsoft Fabric Expertise
Hands-on experience delivering enterprise-scale solutions using Microsoft Fabric components, including OneLake, Lakehouse, Pipelines, and Real-Time Analytics.
Advanced Analytics & BI
Strong proficiency in Power BI, Azure Synapse, Data Factory, and Dataverse to enable scalable reporting and predictive modelling.
Technical Skills
Proficient in T-SQL, Python, and Spark within the Microsoft ecosystem, with deep knowledge of data modelling, lakehouse/warehouse architecture, and ETL/ELT best practices.
Data Integration & Transformation
Experience managing ingestion and transformation of diverse data sources such as APIs, databases, files, IoT, and cloud systems.
Governance & Compliance
Solid understanding of data governance, security, and metadata management, ideally leveraging Microsoft Purview for lineage and classification.
Leadership & Collaboration
Demonstrated ability to lead technical teams, mentor engineers, and deliver in agile environments while partnering effectively with business stakeholders.
Communication Skills
Excellent ability to translate complex technical concepts into clear business outcomes and engage stakeholders at all levels.