Data Lead Engineer

XPT Software Australia Pty Ltd; City of Melbourne; On-site; AUD 150,000 - 190,000; Full time

Job summary

XPT Software Australia Pty Ltd in Melbourne is seeking a Data Lead Engineer to own and drive end-to-end data platform delivery on Azure, including design, build, and optimization of scalable data solutions. You will lead data engineers, govern pipelines, and steer API and Python-based solutions across enterprise platforms.

The role requires 8+ years in data engineering with 2–4 years in leadership, and strong proficiency in Azure data services, data modeling, and cloud architecture.

Qualifications

• Strong SQL and Python expertise.
• Deep experience with Azure Data Factory, Databricks, and Azure Synapse.
• Advanced knowledge of data modeling and data warehousing concepts.
• Hands-on exposure to Microsoft Fabric ecosystem.

Responsibilities

• Lead end-to-end data platform delivery on Azure, including design and optimization.
• Architect and govern datapipelines, models, and enterprise platforms.
• Provide technical leadership to data engineers and ensure quality delivery.
• Drive APIs, Azure Functions, and Python-based solutions.

Skills

SQL

Python

Azure Data Factory

Databricks

Azure Synapse

Data Modeling

Data Warehousing

Microsoft Fabric

Cloud Data Architecture

APIs

Tools

Azure Databricks

Microsoft Fabric

APIs development

Job description

XPT Software Australia Pty Ltd | Contract

Data Lead Engineer

Melbourne, Australia | Posted on 08/11/2026

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT 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-HaveSkills

• Strong expertise in SQLand Python(or similar programming languages).
• Deep experience with AzureData Factory (ADF), Databricks, and Azure Synapse.
• Advanced knowledge of DataModelingand Data Warehousing (DWH)concepts
• Hands-on exposure to MicrosoftFabricecosystem.
• Strong understanding of clouddata architecture and enterprise-scale solutions.

KeyResponsibilities

• Lead and own end-to-enddata platform delivery, including design, build, and optimization ofscalable data solutions on Azure. (derived from pipeline & engineeringresponsibilities)
• Architect and govern datapipelines, data models, and enterprise data platformsusing Azure services.
• Provide technicalleadershipto data engineers, reviewing code, enforcing bestpractices, and ensuring quality delivery.
• Drive development of APIs,Azure Functions, and Python-based solutionsaligned with businessneeds.
• Oversee cloudinfrastructure managementand ensure optimal performance, scalability,and cost efficiency
• Define and implement datagovernance, data quality, and security standards.
• Establish and drive CI/CD,DevOps practices, and agile delivery frameworksacross the dataplatform.
• Collaborate with businessand technical stakeholders, translating requirements into scalablesolutions and roadmaps.
• Mentor team members andbuild capability within the data engineering team.

Experience

• 8+ yearsofexperience in data engineering, with 2–4 years in a leadership role
• Proven ability to leadcross-functional teamsand deliver complex data programs.

PreferredSkills

• Experience in building enterpriseAPIs and Azure Function Apps.
• Exposure to framework-baseddevelopment (proc frameworks or similar).
• Experience in stakeholdermanagement, solution architecture, and delivery governance.
• Strong ownership mindsetwithability to drive outcomes
• Excellent communication andstakeholder management skills
• Ability to balance technical depth with deliveryleadership