Position: Senior Data Engineer

Location: Sydney, NSW

Duration: 6 months

Job Details:

Must Have Skills:

- Solid 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 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 .

Minimum Years of Experience : 6-8 years

📌 Senior Data Engineer (Sydney)
🏢 Burgeon IT Services
📍 Sydney