Azure Data Engineer

Tech Mahindra; Sydney; On-site; AUD 130,000 - 180,000; Full time

Job summary

Tech Mahindra in Sydney is seeking a Senior Azure Data Engineer to design, build, and optimize enterprise cloud data platforms. You will own end-to-end data pipelines, ensure data quality, and implement robust cloud architecture to support BI and advanced analytics.

The role requires 5+ years in data engineering with hands-on Azure experience and strong SQL, Python/PySpark/Scala skills, driving scalable data warehousing solutions.

Qualifications

• 5+ years of hands-on experience in Data Engineering, Data Warehousing, or a related data-centric role.
• Experience with Microsoft Azure services including ADF, Databricks, ADLS, Synapse Analytics, and Azure SQL.
• Strong proficiency in building production-grade data pipelines and scripts using Python, PySpark, or Scala.
• Advanced SQL skills, dimensional data modeling, and robust troubleshooting capabilities.

Responsibilities

• Design, develop, and maintain high-performance data pipelines and ETL/ELT integration solutions.
• Architect data models and optimize SQL queries for performance.
• Establish pipeline monitoring, data validation, and quality checks to ensure data integrity.
• Implement data governance and privacy controls to meet compliance standards.

Skills

Data Engineering

SQL

Dimensional data modeling

Troubleshooting

Python

PySpark

Scala

Data Warehousing

Azure concepts

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Azure Synapse Analytics

Azure SQL

Job description

We are seeking a skilled Senior Azure Data Engineer to design, build, and optimize our enterprise cloud data platforms. In this role, you will take ownership of end-to-end data pipelines, ensure high data quality, and implement robust cloud architecture to support business intelligence and advanced analytics.

Core Responsibilities

• Pipeline Engineering: Design, develop, and maintain high-performance, scalable data pipelines and ETL/ELT integration solutions.
• Database Optimization: Architect structured data models, optimize complex SQL queries, and perform database tuning to maximize performance.
• Data Operations: Establish proactive pipeline monitoring, data validation frameworks, and quality checks to ensure business-ready data integrity.
• Security & Governance: Implement data governance frameworks, role-based access controls, and data privacy protocols to meet strict compliance standards.

Technical Skills & Qualifications

• Experience: 5+ years of hands-on experience in Data Engineering, Data Warehousing, or a related data-centric professional role.
• Azure Cloud Stack: Practical expertise with Microsoft Azure services, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL.
• Programming & Scripting: Strong proficiency in building production-grade data scripts using Python, PySpark, or Scala.
• Core Competencies: Advanced SQL skills, dimensional data modeling, and robust troubleshooting capabilities.