Data Engineer: Azure Databricks Lakehouse + Hybrid

ESS; Sydney; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A leading Australian Institute is seeking a Data Engineer to join their Data Analytics and AI team. The role involves designing and maintaining data infrastructure using Azure Databricks and transforming raw data into insights. Candidates should have strong skills in SQL, Python, and data modelling, along with experience in DevOps and cloud services. A supportive and innovative work environment is promised with hybrid working options.

Benefits

Hybrid / flexible working arrangements.

Access to salary sacrificing and insurance.

Personal wellbeing support.

Opportunities for professional development.

Qualifications

• 4 years of experience in data engineering or a related discipline.
• Strong coding skills in SQL and Python for data manipulation.
• Hands-on experience building scalable high-performance data architectures.

Responsibilities

• Design, build and maintain scalable data lakehouse solutions.
• Develop and optimize data ingestion pipelines.
• Deliver robust analytics reporting and dashboards.

Skills

SQL

Python

Data Warehousing

Data Lakehouse Modelling

Azure Databricks

DevOps

Power BI

Education

Tertiary qualifications in a relevant field

Tools

Azure DevOps

Apache Hive

AWS

Hadoop

Spark

NoSQL

Kafka

Job description

A leading Australian Institute is seeking a Data Engineer to join their Data Analytics and AI team. The role involves designing and maintaining data infrastructure using Azure Databricks and transforming raw data into insights. Candidates should have strong skills in SQL, Python, and data modelling, along with experience in DevOps and cloud services. A supportive and innovative work environment is promised with hybrid working options.