Data Engineer at The Warehouse Group

Kaipātiki, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Quality, SQL Development, Python Programming, Snowflake, dbt Development, Azure Cloud Services, Data Warehousing, Dimensional Modelling, CI/CD, DevOps Practices, Git, Azure DevOps, Airflow, Scripting Languages

Industry

Retail

Description

Company 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 in between, 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. Source control using Git/Azure DevOps. 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! Excited by the opportunity? Apply today! Contract Type: Permanent

Responsibilities

The Data Engineer will design, implement, and maintain data infrastructure to support business intelligence and analytics initiatives. This includes developing scalable data pipelines, ensuring data quality, and collaborating with data scientists and analysts.