Lead Data Platform Engineer - Fabric, Azure & Databricks

Younity; New Zealand; Hybrid; NZD 140,000 - 190,000; Full time

Job summary

Jora New Zealand is seeking an experienced Senior or Principal Data Engineer to design and deliver modern data platforms for NZ organisations, balancing hands-on delivery with technical leadership. You’ll work across Microsoft Fabric, Azure and Databricks, shaping architecture, data modelling and governance while mentoring colleagues and collaborating with clients.

You’ll lead data engineering workstreams from requirements through deployment, building robust ingestion, transformation and

Qualifications

• Extensive hands-on experience designing modern data platforms.
• Strong leadership in data engineering delivery and client mentoring.
• Excellent consulting and stakeholder communication skills.

Responsibilities

• Design and deliver scalable data platforms across Fabric, Azure and Databricks, including lakehouse and medallion architectures.
• Lead data engineering workstreams from requirements and solution design through deployment.
• Build robust ingestion, transformation, modelling and warehousing solutions using SQL, Python and modern ETL/ELT practices.
• Provide technical leadership and customer advice, mentor Data Engineers and contribute to engineering standards.
• Collaborate with architects, consultants and delivery teams to turn complex business needs into secure data solutions.

Skills

SQL

Python

ETL/ELT

Data modelling

Data warehousing

Lakehouse/Medallion architectures

Leadership

Consulting

Tools

Microsoft Fabric

Azure

Databricks

Power BI

Spark/PySpark

dbt

Snowflake

Purview

CI/CD

Terraform/Bicep

Job description

Jora New Zealand is seeking an experienced Senior or Principal Data Engineer to design and deliver modern data platforms for NZ organisations, balancing hands-on delivery with technical leadership. You’ll work across Microsoft Fabric, Azure and Databricks, shaping architecture, data modelling and governance while mentoring colleagues and collaborating with clients.

You’ll lead data engineering workstreams from requirements through deployment, building robust ingestion, transformation and