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Data Specialist (24 month FTC)

KPMG NZ· Business Enablement – IT Services
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Hybrid (Auckland)Fixed TermPosted 1w ago

About the role

Data Specialist role focused on developing, modernising, and supporting data solutions to enable reliable reporting, automation, integrations and analytics across KPMG New Zealand. Hybrid, Auckland, 24-month fixed-term contract.

Responsibilities

  • Design, develop and maintain data pipelines, data integrations, databases, and models supporting analytical solutions.
  • Build and support modern ETL/ELT patterns across cloud data platforms, including Azure, Databricks, SQL and related Azure services.
  • Integrate and manage data from internal and external source systems, including APIs, files, cloud services, operational applications, and vendor platforms.
  • Develop and support curated data products used by semantic models, Power BI reports, downstream integrations, and future AI-enabled consumption patterns.
  • Support operational data workloads, business process automations, reference/master data needs, and integration persistence using relational data platforms where appropriate.
  • Produce and maintain BI reporting solutions, semantic models and analytics-ready datasets.
  • Contribute to data governance practices including data quality, lineage, access control, metadata, sensitivity classification, and documentation.
  • Use Azure DevOps and modern engineering practices to manage code, deployments, releases and change control.
  • Collaborate with business stakeholders, technology teams, data consumers, and external vendors to understand requirements and deliver reliable, scalable solutions.
  • Monitor, troubleshoot and improve existing data processes to ensure performance, reliability, security, and supportability.

Qualifications

  • Strong cloud data engineering experience, preferably in Microsoft Azure ecosystem.
  • Hands-on experience building and supporting data pipelines using Azure Data Factory, Databricks, PySpark, Python, SQL, SSIS or similar ETL/ELT tools.
  • Understanding of traditional SQL Server, SSIS, data warehouse and operational data patterns, with ability to transition workloads to modern cloud-based architectures.
  • Experience with SQL Server and Azure SQL, including T-SQL development, stored procedures, views, indexing, relational modelling, and performance tuning.
  • Interest or experience in Databricks, Delta Lake, Unity Catalog, Microsoft Fabric, Power BI semantic models and governed data products.
  • Experience integrating data from multiple sources including APIs, files, databases, cloud services, vendor platforms, and internal systems.
  • Comfortable with platform transitions, supporting existing operational processes while improving engineering, governance and delivery practices.
  • Experience with Azure DevOps, source control, release processes, and deployment practices.
  • Ability to translate requirements into reliable, scalable, and supportable data solutions to non-technical stakeholders.

Skills

Required:Azure Data FactoryPythonSQL
Nice to have:Databricks

Benefits

  • Hybrid working across a mix of office, client and home hubs
  • Access to annual incentive scheme
  • Opportunities for local and international secondments
  • Flexible leave options, including purchasable additional annual leave
  • 18 weeks of fully paid parental leave for all new parents
  • Paid professional association membership of your choice
  • Digital accreditations and learning pathways with Microsoft and LinkedIn Learning
  • Discounts on insurances, banking services, and lifestyle goods and services
  • Inclusion, Diversity and Equity networks participation
  • Green Team involvement and environmental initiatives
  • Social clubs and volunteering/ citizenship activities
  • Wellbeing benefits including free flu vaccinations, counselling, Wellbeing leave, and wellbeing resources
  • AI-assisted recruitment tooling disclosure and human oversight in hiring decisions
Last updated Oct 23, 2026. Interested? Apply on the company site.
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