Role Title:
Senior Data Engineer (Databricks & Azure) Location: Adelaide - Hybrid
Role Type: Initial 3 months contract – potential to extend
Ft/PT: Full Time
Payrate: $100- $110 per hour plus super
Role Overview We are seeking a Senior Data Engineer with strong expertise in Databricks, Python, and Azure to design, build, and optimize scalable data platforms that support analytics, reporting, and business intelligence initiatives.
Key Responsibilities - Design and develop scalable data pipelines and ETL/ELT solutions using Databricks, PySpark, Python, and SQL.
- Build and maintain lakehouse/data warehouse solutions to support enterprise analytics.
- Develop and optimize data models, Spark workloads, and SQL queries for performance and scalability.
- Integrate data from multiple sources while ensuring data quality, governance, security, and reliability.
- Collaborate with business and technical stakeholders to deliver scalable, business-focused data solutions.
- Support CI/CD, automation, and data engineering best practices within Azure environments.
Skills & Experience - Strong hands-on experience with Databricks, Delta Lake, Apache Spark, and PySpark.
- Advanced Python and SQL skills with experience in data transformation and performance optimization.
- Experience designing and maintaining scalable data pipelines and modern data platforms.
- Strong understanding of data modelling, data warehousing, and lakehouse architectures.
- Experience working with Microsoft Azure services such as Azure Data Factory, and Synapse Analytics.
- Experience implementing data governance, security, and data quality frameworks.
- Good communication and stakeholder management skills.
Nice to Have - Knowledge of DevOps, CI/CD, and Infrastructure as Code
- Databricks and/or Azure certifications (not mandatory)
Diversity, Equity & Inclusion at Hudson
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Casual Loading
Please note for all Australian based contract and temporary roles only, the pay rate is inclusive of mandatory 25% casual loading. This excludes permanent and fixed term roles.