Senior Data Engineer

Posted 7 Days Ago
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Sydney, New South Wales, AUS
In-Office
Senior level
Information Technology • Software • Consulting
The Role
Designs, builds, and operates scalable, secure, high-performance data platforms and pipelines supporting analytics, reporting, machine learning, and real-time insights. Collaborates with analytics, data science, product, and business teams; mentors engineers; optimizes Databricks workloads; and drives architecture, engineering standards, governance, and cloud cost efficiency.
Summary Generated by Built In

  

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)

  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.

 



Skills Required

  • Strong hands-on experience with Azure Data Lake Gen2, Azure Synapse, and Databricks
  • Solid experience with PySpark and Spark SQL
  • Experience with Databricks performance tuning and job optimization
  • Proficiency in complex SQL, including window functions, CTEs, and execution plans
  • Experience mentoring junior and mid-level engineers
  • Ability to communicate technical trade-offs to architects and product teams
  • Experience with Azure DevOps or GitHub Actions
  • Experience designing low-latency streaming and real-time data pipelines
  • Exposure to data governance, metadata management, data classification, and sensitivity labels
  • Familiarity with performance-aware Python engineering practices
  • Analytics and business intelligence awareness
  • Knowledge of cloud cost optimization and FinOps
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The Company
120 Employees
Year Founded: 2016

What We Do

XPT Software Australia Pty Ltd is a technology consulting and software services company serving clients across banking, financial services and insurance, telecommunications, mining, retail, energy, and manufacturing. It provides software development, IT management consulting, business analysis, project and program management, infrastructure support, and offshore development through onsite-offshore delivery. The company also works with cloud computing, big data, mobile applications, UI/UX, algorithms, and IoT.

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