Lead Data Engineer (Victoria)

Lead Data Engineer (Victoria)

05 Sep
|
Xpt Software Australia
|
Victoria

05 Sep

Xpt Software Australia

Victoria

Job Description
XPT Software Australia Pty Ltd | Contract
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Melbourne, Australia | Posted on 09/04/2026
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XPT SoftwareAustralia PTY Ltd, incorporated in ****, is a Software Services company
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XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and
Manufacturingdomains.
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We have 120+technocrats in Australia working at our clientlocations.
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XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
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We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
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Job Description
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Role Overview
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We are seeking a highlyexperienced Lead Data Engineer to drive the strategy,
architecture,delivery,
and optimization of enterprise-scale data platforms on MicrosoftAzure. The ideal candidate will combine deep technical expertise with strongleadership, stakeholder management, and delivery governance capabilities tobuild scalable, secure, and cost-efficient data solutions.
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Must-Have Skills
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Strongexpertise in SQL, Python, and PySpark
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Extensiveexperience
with Azure Data Factory (ADF) and Azure Synapse Analytics.
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Hands-onexperience with Delta Lake architecture and modern data
lakehouseimplementations.
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Advancedknowledge of Data Modeling and Data Warehousing concepts.
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Strongexposure to the Microsoft Fabric ecosystem.
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Provenexpertise in designing cloud-native data architectures andenterprise-scale solutions.
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Strong design thinking and problem-solving capabilities.
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Workingknowledge of CI/CD pipelines and DevOps practices.
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Experiencein cloud cost optimization, performance tuning, and resource governance.
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Key Responsibilities
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Leadand own the end-to-end delivery of enterprise data




platforms,including
architecture, development, deployment, and optimization.
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Defineand drive the data platform roadmap, ensuring alignment withbusiness objectives and strategic priorities.
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Architectand govern scalable data pipelines, data models, data warehouses, andlakehouse solutions using Azure services.
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Providetechnical leadership to Data Engineering teams through design reviews,code reviews, and implementation of engineering best practices.
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Drivethe adoption and implementation of Microsoft Fabric, APIs, AzureFunctions, and Python-based solutions.
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Ensureplatform scalability, reliability, security, and operational excellencewhile optimizing cloud costs.
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Establishand enforce data governance, data quality, security, and
compliancestandards.
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Implementand drive CI/CD, DevOps, and Agile delivery practices across thedata engineering landscape.
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Collaboratewith business stakeholders, architects, and technology teams to translatebusiness requirements into scalable technical solutions.
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Mentor,coach, and develop Data Engineering talent, fostering a culture ofcontinuous learning and innovation.
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Leverage GitHub Copilot and AI-assisted engineering tools to improve productivityand solution quality.
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Driveinnovation by evaluating emerging technologies and
identifyingopportunities
for platform modernization.
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Experience
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10+years of overall IT experience, including 10+ years in Data Engineering.
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Minimum 5+ years of leadership experience managing large-scale DataEngineering programs and teams.
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Proventrack record of leading cross-functional teams and delivering complexenterprise data transformation initiatives.
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Experiencebuilding,
hiring, and scaling high-performing Data Engineering teams.
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Experienceworking within multi-vendor and globally distributed
deliveryenvironments.
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Strongexperience in stakeholder management, delivery governance, andexecutive-level communication.
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Preferred Skills
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Experiencebuilding and managing enterprise APIs and Azure Function Apps.
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Experiencein solution architecture, stakeholder engagement, and
deliverygovernance.
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Azurecertifications
such as:
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AzureSolutions Architect Expert
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Familiaritywith MLOps, Data Science, and AI-driven analytics solutions.
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Hands-onexperience with Power BI and enterprise reporting platforms.
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Experienceleveraging
AI and Generative AI capabilities within Data
Engineeringecosystems.
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Strongownership mindset with a focus on accountability and business outcomes.
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Excellentcommunication,
stakeholder management, and influencing skills.
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Abilityto balance technical leadership with delivery and people
managementresponsibilities.
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Strategicthinker with a strong focus on execution excellence.
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Strongconflict resolution and cross-functional collaboration skills.
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Adaptabilityand resilience in quick-paced, evolving environments.
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Passionfor mentoring teams and fostering a culture of innovation and
continuousimprovement.
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📌 Lead Data Engineer (Victoria)
🏢 Xpt Software Australia
📍 Victoria

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