Senior Azure Data Engineer-Databricks Experience:8+Years Technology Focus: Azure | Databricks | PySpark | Python | SQL | Data Engineering Role Overview We are looking for an experienced Senior Azure Data Engineer / Lead with 8+ years of software/data engineering experience and strong expertise in Azure, Databricks, Python, SQL and Apache Spark .
The ideal candidate will have hands-on experience designing and developing complex data pipelines, distributed data processing solutions, ETL frameworks and large-scale data platforms within Agile environments.
Key Responsibilities Requirements 8+ years of experience in software/data engineering and development , preferably within Agile environments.
Strong hands-on expertise in Python and SQL ; Java experience is an advantage.
Design, develop and optimize complex data pipelines and ETL workflows .
Strong experience with Apache PySpark, Databricks, Azure Synapse, Azure Data Factory (ADF) and Azure Functions .




Hands-on experience with data modelling, data warehousing and large-scale ETL architectures .
Experience working with MS SQL, ADLS Gen2 and NoSQL/data storage technologies .
Good understanding of object storage and Big Data architectures , particularly Azure Data Lake Storage Gen2.
Experience managing and optimizing distributed systems and clusters for large-scale/batch data processing.
Knowledge of MLOps architecture and practices .
Solid understanding of modern data modelling concepts and enterprise data warehouse architecture .
Familiarity with Azure DevOps, Git and modern CI/CD practices .
Good knowledge of ETL and data warehousing methodologies .
Informatica experience is an advantage.
Ability to work closely with architects, developers, data teams and business stakeholders in an Agile environment.

📌 Senior Azure Data Engineer – Databricks -Sydney Only
🏢 The HR Ally
📍 Sydney