22 Aug
|
Jenny Barbour It & Project Recruitment
|
Australia
22 Aug
Jenny Barbour It & Project Recruitment
Australia
Job Description
Jenny Barbour IT And Project Recruitment – Mulgrave VIC
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Permanent
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7d ago , from Jenny Barbour IT And Project Recruitment
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Join a quintessentially Australian brand
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Strong experience across Azure Databricks, dbt and Kimball dimensional modelling required
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This is an exciting opportunity to take ownership of a growing Data Engineering capability and play a key role in shaping how an organisation leverages data to deliver better decisions, deeper insights and future AI-driven initiatives.
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Reporting to the Head of Data & Analytics, the Data Engineering Lead will be responsible for the design, delivery and ongoing evolution of the enterprise data platform. This is a hands‐on technical leadership role, combining solid engineering capability with the prospect to establish best practices, mentor engineers and influence the future direction of the organisation's data landscape.
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Key Skills & Responsibilities
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Lead Data Engineering activities across data ingestion, transformation, orchestration and data serving capabilities.
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Design, build and optimise scalable data pipelines using Azure Databricks, dbt and Azure Data Factory.
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Own and continuously improve the enterprise data platform using modern Azure data technologies.
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Apply Kimball dimensional modelling principles to deliver trusted and scalable data solutions.
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Develop and support modern data architectures including Lakehouse, Delta Lake and Medallion architecture patterns.
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Drive the adoption of up-to-date incremental data processing frameworks and engineering practices.
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Establish and maintain engineering standards across coding practices, testing, CI/CD, documentation and operational support.
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Lead and mentor a small team of Data Engineering professionals, fostering a culture of collaboration and continuous improvement.
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Build trusted data assets that support business reporting, analytics and AI initiatives.
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Support production data platforms through monitoring, troubleshooting, performance optimisation and continuous improvement.
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Partner closely with BI, Analytics, Data Science and Technology teams to ensure data is structured for business consumption
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Improve data quality, governance and overall engineering maturity.
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📌 Data Engineer Lead Yallourn (Australia)
🏢 Jenny Barbour It & Project Recruitment
📍 Australia