Senior Data Engineer

Position: Senior Data Engineer Location: Sydney, NSW Duration: 6 months Job Details: Must Have Skills: Strong hands‑on experience with Azure Data Lake Gen2, Synapse, DatabricksSolid experience in PySpark / Spark SQL, Databricks performance tuning & job optimizationProficient in Complex SQL (window functions, CTEs, execution plans)Strong understanding in Mentoring junior and mid‑level engineers, Communicating trade‑offs to architects and product teamsExperience 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 labelsFamiliarity with Advanced Python Engineering Practices on Performance‑aware Python designExperience working in Analytics & BI AwarenessKnowledge 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. Minimum Years of Experience : 6-8 years