Job Description:Must Have Skills:
Strong 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)
Robust understanding in Mentoring junior and mid‐level engineers,
Communicating trade‐offs to architects and product teams
Experience working with Azure DevOps or GitHub ActionsNice 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 & FinOpsDetailed 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 (Sydney)
🏢 XPT Software Australia Pty
📍 Sydney