Senior Data Engineer

Auckland, New Zealand

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Company Description

Welcome! Kia Ora 

 

This isn’t your average Data Engineer role. We’re on the hunt for a seasoned Data Engineering professional with hands-on experience in Snowflake and DBT implementations to join our growing team. As we modernize our Data Engineering toolset with new technologies, you’ll play a key role in major migration and refactoring projects. If tackling complex data challenges excites you, this could be your next big opportunity!

The Warehouse Group (TWG) has become 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 with over $3 billion in sales, and employing over 12,000 people across The Warehouse, Warehouse Stationery and Noel Leeming. To ensure we can adapt quickly to ever-changing customer needs.

Job Description

Sitting within the Group Technology Solutions and Engineering team (and reporting into the Data Engineering Lead) you will work closely with other data engineers, BI/Analytics, Data Science, and a range of business stakeholders.

Big changes and investment are underway in our Data Engineering space, with our data warehouse migrating to Snowflake and the introduction of DBT and DataOps processes to establish consistent, efficient workflows across our growing team. This is a highly technical role, where your expert data engineering skills will be essential from day one. Across our business over the past 18 months, we’ve brought numerous new systems online, and these pipelines now require embedding and further modelling to ensure they’re production-ready.

By joining our Data Engineering team, you will be joining a cohort of 7 Data Engineers so there is also great support and cross skilling. Day to day you will be leveraging your technical skills to architect and deliver solutions – developing, maintaining and testing processes to expand and optimise our data pipeline, flows and collection to ultimately ensure the data can be easily analysed by stakeholders.

Qualifications

First and foremost, you have a passion for setting up data solutions. Equally important, is your ability to understand business requirements and translate this into technical solutions, (coupled with an appreciation of project driven/implementation environments).

You will bring the following to the role:

  • Strong Data Engineering background
  • Ridiculously good SQL skills
  • Experience working in a modern data engineering practises, particularly DevOps/DataOps
  • Excellent relationship management and communication skills
  • Open and resilient to change
  • A test and learn attitude
  • An insatiable curiosity

Additional Information

We offer a dynamic, supportive team environment within a business that cares about and recognises individuals. When you join us, you also get discounts across most of our brands, great team member benefits.

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!  

Excited by the opportunity? Apply today!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: DataOps Data warehouse dbt DevOps Engineering Pipelines Snowflake SQL Testing

Region: Asia/Pacific
Country: New Zealand

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