XPT SoftwareAustralia PTY Ltd, incorporated in ****, is a Software Services companyXPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.We have 120+technocrats in Australia working at our clientlocations.XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.We have served100+ clients globally, fulfilling their onsite-offshoreneeds.Must Have Skills:Strong hands‐on experiencewith Azure Data Lake Gen2, Synapse, DatabricksSolid experience in PySpark / Spark SQL, Databricks performance tuning & joboptimizationProficient in Complex SQL (window functions, CTEs, execution plans)Robust understanding in Mentoring junior and mid‐level engineers, Communicating trade‐offsto architects and product teamsExperience working with Azure DevOps or GitHub ActionsNice to Have Skills:Experience with Streaming& Real‐Time Data Processing on Designing low‐latencypipelines.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 DescriptionThe Senior Data Engineer will beresponsible for designing,



building, and operatingscalable, secure, and high‐performance data platforms.
The role involves criticaldata pipelines and architectures that power analytics, reporting, andadvanced 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 anddriving engineering best practices across the data organization.The role combines technical leadership,architecture ownership, and business impact.Top 3 responsibilities youwould expect the Subcon to shoulder and executeDesign & Own ScalableData Architecture:Design batch and streaming data architectures, Choosethe right storage, compute, and processing patterns, Ensure scalability,reliability, fault tolerance, and cost efficiency.Build Reliable, High‐QualityData Pipelines:Developand maintain ETL/ELT pipelines at scale, Handle incremental loads, CDC, andfailure recovery, Implement data quality checks and monitoring.Technical Leadership &Collaboration;:Review code, data models, and designs, Translatebusiness requirements into technical solutions, Communicate trade‐offs to stakeholdersand leadership
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📌 Senior Data Engineer (Melbourne)
🏢 XPT Software
📍 Melbourne