Data Engineer

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Introduction:
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.

Description:
Key Responsibilites

Lead the development and continuous improvement of the data engineering framework, standards, practices, and procedures

Act as the design authority for all data engineering solutions

Plan, prioritise and execute data engineering related activities to support the data management and data analytics teams

Perform an ongoing maturity assessment of data engineering practices and identification of any people, process & technology needs to close any gaps

Lead the design, deployment of management of the data lake and data warehouse capabilities, and the orchestration of data acquisition/ingestion and integration activities

Develop and implement best practices in metadata management, data modelling and devops

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

Grow and mentor a team of data engineering specialists

Skills and Experiences:
Essential Requirements

A tertiary qualification in information technology is highly regarded

A minimum of 5 years’ experience in similar role with demonstrated experience leading data engineering related initiatives

Highly proficient and extensive experience in the use of data engineering technologies such as azure data factory, databricks etc

Highly proficient and extensive experience acquiring/ingesting data from structured/un-unstructured, api’s and iot related data sources

Experience working with a lambda data architecture and data modelling methodologies such as kimball, inmon and data vault

Experience working with, and knowledge of, data governance, data quality, reference and master data management, and business glossary technologies

Highly proficient and extensive experience in the use of programming languages such as t-sql, javascript, python, powershell etc

Highly proficient and extensive experience in the use of data storage formats such as parquet, delta, orc, json etc

Excellent interpersonal and both oral and written communication skills

Ability to build relationships with a variety of stakeholders

Experience managing/leading a team

Capacity to align strategic and operational needs with organisational development initiatives

Solid project management and agile development experience

Ability to travel