Job Description
Introduction
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Our mission is to make fresh fruits and vegetables a more loved and essential part of everyone's life.
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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 ****.
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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.
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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.
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We employ more than 2,000 people across a portfolio of farming sites, high-tech production facilities, research, corporate offices, and national logistics operations.
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Learn more about us and discover other exciting opportunities at
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Description
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Key Responsibilites
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Lead the development and continuous improvement of the data engineering framework, standards, practices, and procedures
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Act as the design authority for all data engineering solutions
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Plan, prioritise and execute data engineering related activities to support the data management and data analytics teams
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Perform an ongoing maturity assessment of data engineering practices and identification of any people, process & technology needs to close any gaps
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Lead the design, deployment of management of the data lake and data warehouse capabilities, and the orchestration of data
acquisition/ingestion
and integration activities
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Develop and implement best practices in metadata management, data modelling and devops
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Engage and communicate with key business stakeholders such as product owners, data analysts etc and drive sprint planning to ensure the continuous delivery of business value
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Grow and mentor a team of data engineering specialists
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Skills and Experiences
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Essential Requirements
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A tertiary qualification in information technology is highly regarded
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A minimum of 5 years' experience in similar role with demonstrated experience leading data engineering related initiatives
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Highly proficient and extensive experience in the use of data engineering technologies such as azure data factory, databricks etc
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Highly proficient and extensive experience
acquiring/ingesting
data from structured/un-unstructured, api's and iot related data sources
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Experience working with a lambda data architecture and data modelling methodologies such as kimball, inmon and data vault
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Experience working with, and knowledge of, data governance, data quality, reference and master data management, and business glossary technologies
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Highly proficient and extensive experience in the use of programming languages such as t-sql, javascript, python, powershell etc
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Highly proficient and extensive experience in the use of data storage formats such as parquet, delta, orc, json etc
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Excellent interpersonal and both oral and written communication skills
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Ability to build relationships with a variety of stakeholders
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Experience managing/leading a team
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Capacity to align strategic and operational needs with organisational development initiatives
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Solid project management and agile development experience
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Ability to travel
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#J-*****-Ljbffr

📌 Data Engineer (Queensland)
🏢 Perfection Fresh Australia
📍 Queensland