We are looking for an experienced Senior Data Engineer to join our team and contribute to the design, development, and optimization of up-to-date data platforms and large-scale data solutions.

Key Responsibilities
Design, develop, and maintain complex data pipelines and ETL processes.
Build scalable data solutions using Python, SQL, Apache PySpark, Azure Synapse, ADF, and Azure Functions.
Develop and optimize data models, data warehouses, and large-scale data processing solutions.
Work with SQL and NoSQL data stores, including MS SQL and ADLS Gen2.
Develop and manage distributed data processing systems and clusters for batch processing.
Implement data engineering solutions aligned with MLOps and up-to-date data architecture practices.
Support data integration, transformation, and migration initiatives.
Follow Agile development practices and collaborate with cross-functional teams.
Use modern DevOps tools such as Azure DevOps and Git to support development and deployment.
Contribute to data platform performance, scalability,



and reliability improvements.

About You
8+ years of experience in software engineering/data engineering.
Strong hands‑on experience with Python and SQL; Java experience is desirable.
Extensive experience with Apache PySpark, Azure Synapse, Azure Data Factory (ADF), and Azure Functions.
Strong experience building complex ETL/data pipelines and working with contemporary data modelling concepts.
Experience with MS SQL, ADLS Gen2, NoSQL, and large‑scale data warehousing.
Experience working with distributed systems and batch‑processing environments.
Knowledge of MLOps architecture and practices.
Good understanding of Azure DevOps and Git.
Strong understanding of ETL and data warehousing methodologies.
Strong problem‑solving and communication skills with experience working in Agile environments.

Location: Sydney
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📌 Senior Azure Data Engineer Sydney
🏢 Umbrella Club
📍 Sydney