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Data Specialist – 24 Month FTC
KPMG New Zealand. Develop, modernise, and support data solutions for reporting, business process automation, operational integrations, and analytics .
Tech Stack
Tools & technologiesAzureCloudETLPySparkPythonSQLSSISUnity
About the role
Key responsibilities & impact- Develop, modernise, and support data solutions for reporting, business process automation, operational integrations, and analytics
- Design, develop, and maintain data pipelines, integrations, databases, and models
- Build and support ETL/ELT patterns across Azure, Databricks, SQL, and related Azure services
- Integrate and manage data from internal and external source systems, APIs, files, cloud services, operational applications, and vendor platforms
- Develop and support curated data products for semantic models, Power BI reports, downstream integrations, and AI-enabled consumption
- Support operational data workloads, process automations, reference/master data, and integration persistence
- Produce and maintain BI reporting solutions, semantic models, and analytics-ready datasets
- Contribute to data governance, including data quality, lineage, access control, metadata, sensitivity classification, and documentation
- Use Azure DevOps and modern engineering practices for code, deployments, releases, and change control
- Collaborate with stakeholders, technology teams, data consumers, and vendors
- Monitor, troubleshoot, and improve data processes for performance, reliability, security, and supportability
- Maintain current data services while helping modernise the platform for cloud engineering, governed data products, trusted analytics, and AI-ready capabilities
Requirements
What you’ll need- Strong cloud data engineering experience
- Hands-on experience building and supporting data pipelines using Azure Data Factory, Databricks, PySpark, Python, SQL, SSIS or similar ETL/ELT tools
- Understanding of SQL Server, SSIS, data warehouse and operational data patterns
- Experience with SQL Server and Azure SQL, including T-SQL development, stored procedures, views, indexing, relational modelling, and performance tuning
- Experience or strong interest in Databricks, Delta Lake, Unity Catalog, Microsoft Fabric, Power BI semantic models and governed data products
- Experience integrating data from APIs, files, databases, cloud services, vendor platforms, and internal business systems
- Experience with Azure DevOps, source control, release processes, and deployment practices
- Ability to translate requirements into reliable, scalable, and supportable data solutions
- Pragmatic, curious, and collaborative approach
- Ability to balance modernisation with maintaining critical business processes
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
- Ability to work from overseas and extend time outside New Zealand
- Flexible leave options, including purchasing additional annual leave
- Gender-neutral parental support, including 18 weeks of fully paid parental leave for all new parents
- Paid professional association membership of choice
- Digital accreditations through Microsoft and LinkedIn Learning, with bespoke learning pathways
- Special offers and discounts on insurances, banking services, and lifestyle goods and services
- Inclusion, Diversity and Equity Affinity networks
- Green Team activities
- Local Social club events and activities
- Paid time off for volunteering and citizenship activities
- Free flu vaccinations
- Subsidised sporting events
- Free confidential counselling services
- Additional 5 days of Wellbeing leave
- Wellbeing portal with advice and resources