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.
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.
Key responsibilities:
Helping shape the future data architecture and providing hands-on technical leadership
Designing modular and adaptable data solutions
Designing, building and optimising ETL and ELT pipelines in Azure Databricks
Integrating ERP platforms, SQL databases and operational systems
Defining source-to-target mappings, transformation logic and data structures
Developing scalable data models and curated datasets for reporting, analytics and future AI use cases
Building efficient backend datasets for Databricks and Power BI
Making appropriate technical decisions across Delta tables, Parquet files and SQL transactional formats
Implementing data governance, security and access controls
Leading automation of manual financial and reporting processes
Applying practical CI/CD, version control, testing, deployment and release management practices




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

📌 Senior Data Engineer - Databricks (Melbourne)
🏢 Slade Group
📍 Melbourne