Job Description:
Must Have Skills:

Robust hands‐on experience with
Azure Data Lake Gen2, Synapse, Databricks

Solid experience in PySpark / Spark SQL, Databricks performance tuning &
job optimization

Proficient in
Complex SQL (window functions, CTEs, execution plans)

Strong understanding in Mentoring junior and mid‐level engineers,
Communicating trade‐offs to architects and product teams

Experience working with
Azure DevOps or GitHub Actions
Nice to Have Skills:

Experience
with
Streaming & Real‐Time Data Processing
on Designing low‐latency
pipelines.

Exposure to
Data Governance & Metadata Management
in Data
classification & sensitivity labels

Familiarity with
Advanced Python Engineering Practices
on
Performance‐aware
Python design

Experience working in
Analytics & BI Awareness





Knowledge of
Cloud Cost Optimization & FinOps
Detailed Job Description
The Senior Data Engineer will be responsible for designing, building, and
operating scalable, secure, and high‐performance data platforms.
The role
involves critical data pipelines and architectures that power analytics,
reporting, and advanced data use cases such as machine learning and real‐time
insights.
The candidate will collaborate closely with analytics,
data science, product, and business teams while mentoring engineers and
driving engineering best practices across the data organization.
The role combines
technical
leadership, architecture ownership, and business impact
.

📌 Senior Data Engineer (New South Wales)
🏢 XPT Software Australia Pty
📍 New South Wales