Data Engineer – Microsoft Fabric (Hybrid, Auckland)

About the role

We are seeking a hands‑on Data Engineer to join a leading consultancy’s data practice in Auckland. You will design and deliver modern data platforms built on Microsoft Fabric for a range of forward‑thinking New Zealand organisations.

Key responsibilities

• Design and implement end‑to‑end data solutions using Microsoft Fabric components such as Data Factory pipelines, Lakehouses, Warehouses and OneLake.
• Develop and maintain ETL/ELT pipelines and transformation logic with SQL and Python (including PySpark/Notebooks).
• Apply medallion/lakehouse architecture patterns to create scalable, governed data platforms.
• Collaborate with solution architects and client stakeholders to translate business requirements into technical delivery.
• Implement data quality, security and governance practices aligned with Microsoft Purview.
• Contribute to Power BI semantic models and reporting layers when needed.
• Support junior team members and help build reusable assets and standards.

Required profile

• 3+ years of hands‑on data engineering experience, preferably in a consultancy or client‑facing environment.
• Proven experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Notebooks, OneLake); certifications are a plus.
• Strong SQL and Python skills with solid pipeline design and data modelling fundamentals.
• Experience with medallion/lakehouse architecture patterns.
• Familiarity with Azure services such as Azure Data Factory, ADLS and Synapse.
• Consulting basics: requirements gathering, documentation, estimating and client communication.

Required skills

• Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Notebooks, OneLake)
• SQL
• Python (including PySpark/Notebooks)
• Azure Data Factory
• Azure Data Lake Storage (ADLS)
• Azure Synapse
• Microsoft Purview
• Power BI
• dbt (bonus)
• Spark / Databricks (bonus)

What we offer

• Opportunity to work with cutting‑edge Microsoft Fabric technology.
• Hybrid work model (office in Auckland and remote flexibility).
• Supportive consultancy environment that invests in professional growth.