Data Engineer

The Warehouse Group (TWG) is a Kiwi household name, spanning The Warehouse, Warehouse Stationery and Noel Leeming. As the largest general merchandise retailer in New Zealand, TWG keeps customers at the heart of its purpose-driven growth, delivering quality products and a standout shopping experience in a retail world that’s constantly changing. The technology footprint behind TWG’s operations is broad, powering everything from digital channels to warehouse and order management systems. A Senior Data Engineer role in Auckland offers a hybrid setup for someone who loves building scalable data platforms and helping others excel.

Reporting to the Tech Team Lead: Data Engineering, this role sits within the Data function and is central to shaping and evolving TWG’s enterprise data platform. You’ll design, build and optimise data solutions that produce trusted insights the business can rely on, while staying hands-on with modern cloud-based data tools. Beyond technical delivery, you’ll act as a trusted adviser to stakeholders and a mentor to fellow engineers, setting standards and guiding the team as data needs grow and change.

In this environment you’ll work across a cloud-oriented data ecosystem, driving engineering best practices, influencing technical direction and ensuring the data platforms continue to meet evolving business requirements. The job suits someone who enjoys translating business challenges into robust technical solutions, champions data quality, governance and security, and wants to contribute to the ongoing evolution of TWG’s data capabilities.

Shaping TWG's data foundation

As a senior practitioner, you’ll design, develop and maintain scalable data pipelines and ETL processes that feed trusted insights across the business. You’ll lead the design and implementation of data architectures, models and integration patterns that scale with TWG’s needs, while driving code quality, testing, documentation and observability so the data platform remains reliable and easy to evolve. Your work will prioritise performance, scalability and cost efficiency, and you’ll partner with architects, analysts, data scientists and business stakeholders to turn requirements into solid technical solutions. A core part of the role is championing data quality, governance and security across the whole data ecosystem, and you’ll mentor other Data Engineers to foster continuous improvement and knowledge sharing. You’ll also contribute to strategic planning for TWG’s data platform and stay ahead of industry trends to identify opportunities to enhance tooling and practices, while helping resolve complex data issues and providing technical leadership when challenges arise.

What it takes to join the data team

The role calls for a blend of hands-on capability and leadership, with a clear track record of delivering enterprise-scale data solutions and shaping data platforms in the cloud. You’ll be comfortable engaging with stakeholders, balancing technical depth with business context, and mentoring peers to raise the team’s collective performance.

Must-have requirements

• Five or more years of data engineering experience, including designing and delivering data solutions at an enterprise scale
• Strong expertise in modern data architecture, data modelling and cloud-based data platforms
• Advanced SQL development skills with a focus on performance tuning
• Proficiency in Python development
• Extensive experience with Snowflake and current data warehousing practices
• Expert-level dbt development and data transformation experience
• Solid background with Azure cloud services and ETL/ELT design and implementation
• Knowledge of data warehousing concepts and dimensional modelling
• CI/CD and DevOps practices in data projects
• Source control experience using Git or Azure DevOps
• Experience with Airflow or a similar orchestration tool

Nice-to-have qualifications

• Experience in data governance and security across data ecosystems
• Familiarity with data quality frameworks and observability practices
• Experience mentoring engineers and guiding technical direction
• Ability to contribute to long-term strategic planning for data platforms

Compensation, perks and logistics

The role is based in Auckland with a hybrid work arrangement, including Fridays from home. The office is located in Northcote, and on-site there is free car parking plus EV charging. The package also includes a birthday off and discounts across TWG’s brands, along with solid opportunities for career growth within the business.

Tips to stand out for this opportunity

Lead your resume with a strong summary that highlights more than five years building enterprise-scale data solutions in cloud environments, with a clear emphasis on Snowflake, dbt, Azure, Airflow and Python.

When you describe your must-have skills, tell a story with concrete projects: what problem you tackled, the architecture you designed, the data quality or governance you enabled, and the measurable impact on performance or cost. If you can, mention how you collaborated with stakeholders and mentored teammates to lift the whole team.

Be ready to talk through data architecture decisions in interviews, why you chose a Snowflake-based solution, how you approached modelling and ETL/ELT design, and how you balanced performance, cost and reliability. You may also be asked to explain how you handled governance and security in a data platform, so have examples ready.

A good question to bring to the table: how does TWG prioritise the data platform roadmap, and what opportunities exist to improve data quality and observability across the enterprise?