Senior Data Platform Engineer – Snowflake & ADF

Humm Bnpl; Auckland; On-site; NZD 120,000 - 180,000; Full time

Job summary

humm group in Auckland is hiring a hands-on Data Engineer to support and build our modern data platform across Australia and New Zealand. You will ensure reliable day-to-day data operations, monitor critical workloads, troubleshoot production issues and help translate business needs into scalable data solutions.

You will develop and maintain pipelines using Snowflake, dbt and Azure Data Factory, support the transition from legacy platforms, and contribute to data quality, governance and security

Qualifications

• 5+ years of experience supporting and developing SQL Server-based data warehouse environments.
• 3+ years with ADF and Azure Synapse in a data engineering environment.
• Bachelor’s degree in computer science, IT, Engineering, Data & Analytics, or related discipline, or equivalent practical experience.

Responsibilities

• Provide day-to-day operations and support for data platforms across AU and NZ.
• Develop and maintain data pipelines and data products on the modern platform.
• Collaborate with stakeholders to ensure data reliability and governance.
• Support production deployments and incident resolution.
• Contribute to data quality, security, governance and CI/CD practices.

Skills

SQL Server

Azure Data Factory

Azure Synapse

Data pipelines

Python

CI/CD

Data governance

Production support

Education

Bachelor’s degree in CS/IT/Engineering

Tools

WhereScape RED

dbt Cloud

Snowflake

Azure Data Factory

AWS S3

Job description

humm group in Auckland is hiring a hands-on Data Engineer to support and build our modern data platform across Australia and New Zealand. You will ensure reliable day-to-day data operations, monitor critical workloads, troubleshoot production issues and help translate business needs into scalable data solutions.

You will develop and maintain pipelines using Snowflake, dbt and Azure Data Factory, support the transition from legacy platforms, and contribute to data quality, governance and security