Snowflake Data Engineer

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

Job summary

Deloitte in Aotearoa is seeking an experienced Data Engineer to design, build, and optimize Snowflake-based data solutions. You will implement scalable data pipelines, data models, and ingestion across cloud platforms while embedding AI-assisted development practices. Collaborate with cross-functional teams to deliver reliable data platforms.

The role emphasizes security, governance, and performance, with opportunities to contribute to reusable patterns and engineering standards.

Qualifications

• 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.

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.

Skills

Snowflake

Advanced SQL

ETL/ELT pipelines

Cloud platforms

Python

Git

CI/CD

Tools

dbt

Airflow

Azure Data Factory

Git

Job description

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 engineering quality .

What Success Looks Like

• You are someone who can take ownership of a data engineering problem from design through to production .
• You care about building solutions that are not only functional, but also scalable, maintainable, secure, automated, and well engineered .
• You are comfortable working across the broader cloud data ecosystem and are always looking for better ways of working - whether through reusable engineering patterns, automation, or effective use of AI-assisted development tools.
• Most importantly, you combine strong technical capability with a delivery-focused and continuous-improvement mindset .

Why Join Us?

You will have the opportunity to:

• Work on exciting project for some of New Zealand's best companies
• Work on modern, enterprise-scale Snowflake data platform deployments .
• Solve complex, real-world data engineering challenges.
• Work across data engineering, cloud, analytics, governance, and AI .
• Develop experience with modern engineering and AI-assisted development practices .
• Work alongside experienced data engineers, architects, and technology leaders.
• Contribute to reusable solutions and engineering practices that improve how we deliver data platforms.
• Get the opportunity to work on a variety of different modern data tools.

If you are passionate about Snowflake, modern data engineering, and using AI to transform the way engineering teams work , we would love to hear from you.

So, who is Deloitte in Aotearoa?

We are driven to create an impact that matters at every opportunity. Supported by a strong leadership team and member firms from over 150 countries across the globe, Deloitte in Aotearoa is in the business of solving complex problems. Over our 175-year history, we have built a reputation for impactful delivery across all areas of our business.

Deloitte in Aotearoa recognises the uniqueness of our country identified in our founding document, Te Tiriti o Waitangi. We uphold our responsibility(s) to the founding document and acknowledge Māori as the Tangata Whenua/Indigenous people.

Our shared values are at the heart of everything we do. Living these values, including 'Manaaki/taking care of each other' and 'Hāpai tangata/fostering inclusion', is essential to ensuring everyone feels