Data Engineer

The Warehouse Group; Auckland; On-site; NZD 90,000 - 150,000; Full time

Benefits offered by this job

Birthday leave

Employee discounts across TWG brands

On-site parking with EV charging

Hybrid work Fridays

Job summary

The Warehouse Group in Auckland seeks a data engineering professional to design, implement, and maintain scalable data pipelines and ETL processes to support business intelligence. You will optimize data models, ensure data quality and security, and collaborate with data scientists and analysts.

The role emphasizes a growth mindset, strong collaboration, and a hybrid work approach with on-site Northcote facilities and flexible Fridays.

Qualifications

• 3+ years of experience in data engineering or similar role
• Proficient in scripting languages (Python, Shell, Bash) and ETL tools
• Advanced SQL development
• Experience with Python programming
• Snowflake platform expertise
• dbt development and data transformation
• Experience with Azure cloud services
• ETL/ELT design and implementation
• Data warehousing and dimensional modeling
• CI/CD and DevOps practices
• Airflow or similar orchestration tools

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes
• Implement and optimise data models for performance and scalability
• Ensure data quality, consistency, and security across 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 promptly
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions

Skills

Data engineering

Python

SQL

Snowflake

dbt

Azure

ETL

Airflow

CI/CD

DevOps

Tools

Snowflake

dbt

Airflow

Azure

Job description

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 inbetween, we’re a place Technologists want to be and we’d like you to be a part of that.

Job Description

Sitting within our Data function, and reporting into the Tech Team Lead: Data Engineering, you will play a crucial role in designing, implementing, and maintaining our data infrastructure to support business intelligence and analytics initiatives.

Key aspects of your role:

• Design, develop, and maintain scalable data pipelines and ETL processes
• 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
• Collaborate with data scientists and analysts to understand data requirements and provide efficient solutions

Qualifications

First and foremost, you have a passion for setting up data solutions. Equally important, is your ability to uncover and understand business requirements and translate them into technical solutions. We will rely on your thirst to learn, coupled with your strong collaboration skills – for us attitude and a growth mindset is everything.

We envisage you will bring the following to the role:

• 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
• Advanced SQL development.
• Python programming.
• Snowflake platform expertise.
• dbt development and data transformation.
• Experience with Azure cloud services.
• ETL/ELT design and implementation.
• Data warehousing and dimensional modelling.
• CI/CD and DevOps practices.
• Airflow or similar orchestration tools.

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 (Fridays as work 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!