Data Specialist

KPMG New Zealand

Data Specialist ensuring KPMG is data-driven and insights-led. Developing and modernizing data solutions across various business-critical functions.

Posted 7/31/2026full-timeAuckland • 🇳🇿 New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cloud data engineering, particularly within the Microsoft Azure ecosystem, with a focus on building and supporting data pipelines, ensuring data quality, governance, and operational reliability. Proficient in modern data technologies and practices, including data integrations and analytics, to drive data-driven decision-making.

Highest-signal resume keywords

Cloud Data EngineeringAzure SQL DevelopmentData Pipeline DevelopmentPower BI ReportingData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Azure Data FactoryDatabricksPySparkPythonSQLSSIST-SQLData WarehousingETL/ELT ToolsRelational Modelling

Soft Skills

CollaborationCuriosityPragmatism

Tools & Technologies

Microsoft FabricDelta LakeUnity CatalogAzure DevOpsAPIs

Industry Keywords

Data GovernanceData QualityOperational Data ServicesBusiness Process AutomationData Integrations

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSQLSSISUnity

About the role

Key responsibilities & impact

The Data Specialist helps ensure that KPMG is a data-driven and insights-led firm. The role will help develop, modernise, and support data solutions that enable reliable reporting, business process automation, operational integrations, and analytics across the firm.
Our data platform supports a broad set of business-critical functions, including data engineering, cloud data platforms, operational data services, data integrations, semantic models, Power BI reporting, and trusted data products.
The role will support the ongoing modernisation of our data estate, helping us move from traditional style data operations & patterns towards a more cloud-enabled, governed and AI-ready data platform.
You will work across modern data technologies such as Azure SQL, Databricks, Microsoft Fabric, Power BI and related cloud data services, while continuing to support the operational reliability of current data services.
The role will also contribute to improving data governance, data quality, lineage, security, and trusted consumption of data across reporting, integrations, automation, and future AI-enabled use cases.

Requirements

What you’ll need

Bring strong cloud data engineering experience and are comfortable working across modern data platforms, ideally within the Microsoft Azure ecosystem.
Have hands-on experience building and supporting data pipelines using technologies such as Azure Data Factory, Databricks, PySpark, Python, SQL, SSIS or similar ETL/ELT tools.
Understand traditional SQL Server, SSIS, data warehouse and operational data patterns, but are equally interested in helping transition these workloads into modern cloud-based architectures.
Are confident working with SQL Server and Azure SQL, including T-SQL development, stored procedures, views, indexing, relational modelling, and performance tuning.
Have experience, or a strong interest, in modern platform capabilities such as Databricks, Delta Lake, Unity Catalog, Microsoft Fabric, Power BI semantic models and governed data products.
Have experience integrating data from multiple sources including APIs, files, databases, cloud services, vendor platforms, and internal business systems.
Are comfortable working through platform transition, supporting existing operational processes while helping shape improved engineering, governance, and delivery practices.
Have experience with Azure DevOps, source control, release processes, and deployment practices.
can work with business stakeholders, technology teams, and external vendors to translate requirements into reliable, scalable, and supportable data solutions.
Are pragmatic, curious, and collaborative, with the ability to balance modernisation with the need to keep critical business processes stable.

Benefits

Comp & perks

Access to the firm's annual incentive scheme
Opportunities for local and international secondments
Hybrid working across a mix of office, client and home hubs to recognise that people have individual circumstances and preferences when it comes to where and how they work
The ability to work from overseas and extend time connecting with friends and family outside New Zealand
Flexible leave options, including the ability to purchase additional annual leave
Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents
A paid professional association membership of your choice
Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees
A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services
The support, allyship and opportunity to join our many Inclusion, Diversity and Equity Affinity networks, including the Kiwa, Pride, Ethnicity, Accessibility and Wahine groups
The opportunity to participate in Green Team activities, as we work toward reducing the firm’s environmental footprint and become carbon zero by 2030
An invitation to join your local Social club and enjoy events aimed at bringing people together for social, sporting, cultural, family and fundraising activities
Paid time off for volunteering and involvement in citizenship activities
An array of health and wellness benefits such as free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days of Wellbeing leave to support you and your family's overall health and wellness, access to our Wellbeing portal with an extensive range of advice and resources and much much more!