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 recent 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 efficient 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