Azure Data Engineer: Scalable Pipelines & Lakehouse (Sydney)

Renaissance Infosystems Pte Ltd; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Renaissance Info Systems in Sydney is seeking an Azure Data Engineer I to join our data team. You will design, develop and maintain scalable data pipelines using Azure Data Factory, Databricks, ADLS, Synapse, and SQL.

The role requires 5+ years of hands-on data engineering experience, strong SQL and data modeling skills, and proficiency in Python, PySpark or Scala. You will work with data governance and security standards in an enterprise environment.

Qualifications

• 5+ years of hands-on data engineering experience.
• Design, develop, and maintain scalable data pipelines.
• Hands-on with Microsoft Azure Data Platform services.
• Strong SQL, data modeling, performance tuning.
• Experience with data governance, security, and compliance.
• Proficiency in Python, PySpark, or Scala.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Implement and optimize data integration via Azure services.
• Collaborate with cross-functional teams in an Agile environment.
• Ensure data quality, governance, and security compliance.
• Provide performance tuning and data modeling improvements.

Skills

Data engineering

Azure Data Platform

SQL

Data modeling

Python

PySpark

Scala

Data governance

Data quality management

Stakeholder management

Tools

Azure Data Factory (ADF)

Azure Databricks

Azure Data Lake Storage (ADLS)

Azure Synapse Analytics

Azure SQL

Job description

Renaissance Info Systems in Sydney is seeking an Azure Data Engineer I to join our data team. You will design, develop and maintain scalable data pipelines using Azure Data Factory, Databricks, ADLS, Synapse, and SQL.

The role requires 5+ years of hands-on data engineering experience, strong SQL and data modeling skills, and proficiency in Python, PySpark or Scala. You will work with data governance and security standards in an enterprise environment.