# Snowflake Data Engineer at Deloitte New Zealand

Deloitte New Zealand is hiring a Snowflake Data Engineer in Wellington, New Zealand. Level rates it Uses AI ●●○○; you can [apply on Deloitte New Zealand](https://jobsbylevel.com/go/a4d7aa3a-050d-4b60-befe-a0814ac7fc77?utm_medium=ai-agent).

AI Level 2, AI centrality 46 out of 100. Wellington, Wellington Region, New Zealand.

## Details

- Company: [Deloitte New Zealand](https://jobsbylevel.com/companies/deloitte-new-zealand)
- AI level: AI Level 2 (score 46 out of 100)
- Location: Wellington, Wellington Region, New Zealand
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/a4d7aa3a-050d-4b60-befe-a0814ac7fc77?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=snowflake-data-engineer-at-deloitte-new-zealand-85d096

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/snowflake-data-engineer-at-deloitte-new-zealand-85d096

## Description

Join us. But be you. At Deloitte, you’ll do more than just join something, you’ll add something. You’ve found a place that values your curiosity, passion, and desire to work alongside brilliant people on the things that really matter. There really is only one question: What impact do YOU want to make? We are looking for an experienced and motivated Snowflake Data Engineer to join our growing AI & Data team. This role is ideal for someone who is passionate about modern data engineering, enjoys solving complex technical challenges, and is keen to embrace AI-assisted engineering practices to deliver solutions faster and smarter. About the Role As a Snowflake Data Engineer, you will design, build, and maintain scalable cloud data solutions using Snowflake and modern data engineering technologies. You will have the opportunity to work across the full engineering lifecycle — from data ingestion and transformation through to modelling, automation, deployment, optimisation, and production support. We are also looking for someone with an AI-enabled engineering mindset who actively uses tools such as CoCo, GitHub Copilot, and other AI development tools to accelerate delivery while maintaining strong engineering, security, and quality standards. Key Responsibilities Design, develop, and maintain scalable data solutions on Snowflake . Build robust ETL/ELT pipelines for structured and semi-structured data. Develop high-quality and reusable SQL-based data transformations and engineering frameworks. Design dimensional and analytical data models to support reporting, analytics, and AI use cases. Build and maintain data ingestion solutions integrating Snowflake with cloud platforms, APIs, databases, files, and other enterprise data sources. Implement automated CI/CD pipelines and modern DevOps practices for Snowflake deployments. Work with cloud technologies across Azure and/or AWS . Implement appropriate RBAC, security, governance, data quality, and monitoring controls . Monitor and optimise Snowflake workloads for performance, scalability, reliability, and cost . Troubleshoot complex data pipeline and platform issues across development and production environments. Collaborate with architects, analysts, engineers, and business stakeholders to translate requirements into practical technical solutions. Contribute to engineering standards, reusable patterns, technical documentation, and continuous improvement. Proactively leverage CoCo, GitHub Copilot, and other AI-powered development tools across solution design, coding, testing, troubleshooting, code review, and documentation. Identify opportunities to use AI and automation to reduce repetitive engineering effort and accelerate the development lifecycle . What We’re Looking For Strong hands-on experience with Snowflake and advanced SQL. Solid experience designing and building ETL/ELT pipelines and cloud-based data platforms. Strong understanding of data warehousing, data modelling, and modern data engineering principles. Good understanding of Snowflake capabilities including databases, schemas, warehouses, stages, streams, tasks, roles, and performance optimisation. Experience with orchestration and transformation technologies such as Azure Data Factory, dbt, Airflow, or similar tools are advantageous. Experience with Git, CI/CD, and modern software engineering practices . Experience with Python is advantageous. Familiarity with infrastructure-as-code technologies. Strong analytical, troubleshooting, and problem-solving skills. Good communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders. An AI-enabled engineering mindset — proactively using tools such as CoCo, GitHub Copilot, and other AI capabilities to accelerate development, automate repetitive tasks, improve code quality, and deliver solutions more efficiently. Good judgement when using AI-generated outputs, with a strong focus on security, maintainability, accuracy, and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/snowflake-data-engineer-at-deloitte-new-zealand-85d096

Source: https://jobsbylevel.com/jobs/snowflake-data-engineer-at-deloitte-new-zealand-85d096

## Cite this page

Level. https://jobsbylevel.com/jobs/snowflake-data-engineer-at-deloitte-new-zealand-85d096.

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