Job Description
We're looking for a Senior Data Engineer to take a hands-on technical leadership role in the design and development of a new enterprise data capability.
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This is an opportunity to help shape a future-state data architecture while still remaining close to the technology. You'll design and build secure, scalable and modular solutions using Azure Databricks across a complex environment spanning multiple businesses, ERP platforms and operational systems.
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Key responsibilities:
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Helping shape the future data architecture and providing hands-on technical leadership
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Designing modular and adaptable data solutions
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Designing, building and optimising ETL and ELT pipelines in Azure Databricks
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Integrating ERP platforms, SQL databases and operational systems
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Defining source-to-target mappings, transformation logic and data structures
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Developing scalable data models and curated datasets for reporting, analytics and future AI use cases
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Building effective backend datasets for Databricks and Power BI
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Making appropriate technical decisions across Delta tables, Parquet files and SQL transactional formats
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Implementing data governance, security and access controls
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Leading automation of manual financial and reporting processes
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Applying practical CI/CD, version control, testing,



deployment and release management practices
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Working through technical ambiguity and establishing solutions where existing patterns do not yet exist
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Collaborating closely with business stakeholders, analysts, technology teams and external partners.
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Key requirements:
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At least 2-4 years of hands-on Azure Databricks experience in a production environment
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Strong experience independently designing, building and optimising Databricks pipelines and complex data models
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Strong ETL/ELT, data integration, warehousing and schema-design experience
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Experience integrating ERP systems, SQL databases and other operational platforms
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Strong SQL capability
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Experience building semantic-ready datasets for Power BI
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Practical experience applying CI/CD to data engineering or analytics environments
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Knowledge of Delta tables, Parquet and SQL transactional formats
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The ability to work autonomously through ambiguity and solve complex technical problems
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Strong stakeholder management and delivery discipline
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Exposure to Pronto Xi, SAP Business One or Infor SyteLine would be advantageous
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Experience with Master Data Management, GitHub integration, reporting automation or complex multi-entity environments would also be highly regarded
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📌 Senior Data Engineer - Databricks (Victoria)
🏢 Slade Group
📍 Victoria