Data Engineer

at  The Warehouse

Company Description
Welcome! Kia Ora
The Warehouse Group (TWG) is a Kiwi household name, and we proudly recognise the role that we play in communities throughout New Zealand. We are the largest general merchandise retailer in NZ across The Warehouse, Warehouse Stationery & Noel Leeming. We continue to have our customers top of mind as we work purposefully together, “Helping Kiwis live better every day”. Brand-led and retail-focused, we’re continuing our drive to deliver quality products and unparalleled experience for our customers, in a retail world that is dynamic and ever-changing!
Our Technology footprint is extensive and underpins the successful running of our group operation. From our digital presence to our warehouse and order management systems and everything in between, we’re a place Technologists want to be and we’d like you to be a part of that.
Job Description

We are seeking a skilled Data Engineer to join our growing team in Auckland, New Zealand. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure to support business intelligence and analytics initiatives.

• Design, develop, and maintain scalable data pipelines and ETL processes
• Collaborate with data scientists and analysts to understand data requirements and provide efficient solutions
• Implement and optimise data models for improved performance and scalability
• Ensure data quality, consistency, and security across all data systems
• Develop and maintain documentation for data processes and architectures
• Continuously improve data infrastructure to meet evolving business needs
• Troubleshoot and resolve data-related issues in a timely manner
• Stay up-to-date with emerging technologies and best practices in data engineering

Qualifications

Qualifications:

• Minimum of 3 years’ experience in data engineering or a similar role
• Strong proficiency in scripting languages (e.g., Python, Shell, Bash) and ETL tools
• Expertise in designing and implementing data warehousing solutions
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern data platforms (e.g., Snowflake, SQL Server)
• Strong understanding of data modelling, database design, and data governance principles
• Experience with version control systems, particularly Git
• Knowledge of data security best practices and regulatory requirements
• Familiarity with data visualisation tools and machine learning concepts
• Excellent problem-solving skills, attention to detail, and ability to work effectively in a team environment
• Experience with technologies such as dbt, Teradata, Wherescape, Kafka, and microservices is advantageous

Additional Information
We are intentional about finding the right people, allowing us to perform work as a team that truly makes a difference for the business and or customers. What we can promise in return is work that will challenge & excite, working with passionate like-minded people.
Our teams balance a hybrid working approach (up to 2 days per week from home). Conveniently located in Northcote, we offer free car parking on-site plus EV charging! We’ll also give you your birthday off, great discounts across our brands and excellent career opportunities within the business!
Excited by the opportunity? Apply today

• Design, develop, and maintain scalable data pipelines and ETL processes
• Collaborate with data scientists and analysts to understand data requirements and provide efficient solutions
• Implement and optimise data models for improved performance and scalability
• Ensure data quality, consistency, and security across all data systems
• Develop and maintain documentation for data processes and architectures
• Continuously improve data infrastructure to meet evolving business needs
• Troubleshoot and resolve data-related issues in a timely manner
• Stay up-to-date with emerging technologies and best practices in data engineerin