Data Specialist
HybridAuckland, Auckland, New Zealand
Job Summary
Design, develop, and maintain data pipelines, integrations, databases, and models supporting analytical solutions across Azure, Databricks, and Microsoft Fabric. Build modern ETL/ELT patterns, integrate data from APIs and operational systems, and produce BI reporting solutions and semantic models for trusted consumption. Contribute to data governance practices covering quality, lineage, security, and documentation while using Azure DevOps to manage code and deployments. Monitor and troubleshoot existing data processes to ensure performance and reliability, collaborating with stakeholders to deliver scalable solutions. Support the ongoing modernization of the data estate from traditional patterns toward a cloud-enabled, AI-ready platform.
Required Qualifications
- strong cloud data engineering experience
- comfortable working across modern data platforms
- ideally within the Microsoft Azure ecosystem
- hands-on experience building and supporting data pipelines
- experience with Azure Data Factory
- experience with Databricks
- experience with PySpark
- experience with Python
- experience with SQL
- experience with SSIS
- experience with similar ETL/ELT tools
- experience with traditional SQL Server
- experience with SSIS
- experience with data warehouse
- experience with operational data patterns
- confidence working with SQL Server
- confidence working with Azure SQL
- knowledge of T-SQL development
- knowledge of stored procedures
- knowledge of views
- knowledge of indexing
- knowledge of relational modelling
- knowledge of performance tuning
- experience with modern platform capabilities
- knowledge of Databricks
- knowledge of Delta Lake
- knowledge of Unity Catalog
- knowledge of Microsoft Fabric
- knowledge of Power BI semantic models
- knowledge of governed data products
- experience integrating data from multiple sources
- experience with APIs
- experience with files
- experience with databases
- experience with cloud services
- experience with vendor platforms
- experience with internal business systems
- experience with Azure DevOps
- experience with source control
- experience with release processes
- experience with deployment practices
- ability to work with business stakeholders
- ability to work with technology teams
- ability to work with external vendors
- ability to translate requirements into reliable, scalable, and supportable data solutions
- pragmatic mindset
- curious mindset
- collaborative mindset
- ability to balance modernisation with the need to keep critical business processes stable
Desired Qualifications
- experience with modern platform capabilities such as Databricks, Delta Lake, Unity Catalog, Microsoft Fabric, Power BI semantic models and governed data products
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