We are hiring a hands-onData Engineerto design, build, and optimize scalable data pipelines onAzure Databricks.
This role is ideal for someone with strong experience in Spark, Scala, SQL, Python, and modern cloud-based data engineering platforms.
Location:Sydney
Key Responsibilities
Design and develop scalable ETL/ELT pipelines using Azure Databricks, Spark/Scala, and SQL.
Build data solutions following medallion architecture and Delta Lake best practices.
Develop real-time and near real-time data integrations using Spark Streaming and Kafka.
Operationalize data workloads through scheduling, CI/CD, Git-based workflows, secrets management, and observability.
Collaborate with stakeholders to deliver reliable, high-quality data engineering solutions.
Required Skills
Solid hands-on experience with Azure Databricks.




Proficiency in Scala Spark, SQL, and Python.
Experience with data warehousing concepts and big data technologies.
Exposure to Azure and/or AWS cloud platforms.
Knowledge of Hive, Impala, Sqoop, Spark Streaming, Apache Kafka, or Confluent Kafka will be advantageous.
Familiarity with CI/CD tools such as Azure DevOps, GitHub, Jenkins, Jira, or Confluence.
Strong communication and stakeholder management skills.
If you are passionate about building high-performing data platforms and enjoy solving complex data engineering challenges, we would love to hear from you.
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📌 Data Engineer – Azure Databricks (New South Wales)
🏢 Tech Mahindra
📍 New South Wales