Data Engineer

About the Role:
Melbourne is one of Australia’s fastest-growing technology hubs, and at ZSB Digital Solutions Pty Ltd, we build scalable data platforms that help organisations turn complex information into real business insights. Our teams work with modern cloud technologies to design secure, high-performance data pipelines that power analytics, machine learning, and digital products.

We are looking for a Data Engineer who will play a key role in designing and maintaining our data infrastructure. In this role, you will collaborate closely with data analysts, software engineers, and business stakeholders to ensure that reliable data is available across the organisation.

Why Work With Us?

Innovative Environment:
Our Melbourne office is located in the CBD and designed for collaboration and creativity.

Modern Technology Stack:
We work with modern cloud platforms including AWS, Snowflake, Python, and Apache Spark.

Career Growth:
Employees receive professional development support including training budgets and industry conference opportunities.

Collaborative Culture:
Our teams operate in agile environments where engineers have direct influence over architecture and technology decisions.

Key Responsibilities

Data Pipeline Development:
Design and build scalable ETL/ELT pipelines to process structured and unstructured datasets.

Data Platform Optimization:
Monitor and improve the performance, reliability, and scalability of our data infrastructure.

Collaboration with Stakeholders:
Work with analytics teams and product managers to understand data requirements and deliver solutions that support business insights.

Data Quality & Governance:
Implement validation frameworks and monitoring systems to ensure high data accuracy and compliance.

Documentation:
Maintain clear technical documentation for data models, processes, and architecture.

What We Are Looking For

Experience:
3–5+ years of experience in Data Engineering, Data Platform Development, or Data Infrastructure roles.

Technical Skills:
Strong experience with Python, SQL, and cloud data platforms (AWS, GCP, or Azure).

Data Tools:
Experience with Apache Airflow, Spark, Kafka, or Snowflake is highly desirable.

Problem Solving:
Ability to design efficient solutions for large-scale data processing challenges.

Communication:
Strong collaboration skills and the ability to explain technical concepts to both technical and non-technical stakeholders.

Job Types: Full-time, Permanent

Pay: $11,500.00 per month

Work Location: In person