Senior Data Engineer

The Warehouse Group; Auckland; Hybrid; NZD 120,000 - 170,000; Full time

Benefits offered by this job

Free car parking on-site

EV charging

Birthday off

Great discounts across brands

Excellent career opportunities

Job summary

The Warehouse Group in Auckland, NZ is seeking an experienced Senior Data Engineer to design, build and optimise scalable data solutions across a modern cloud-based ecosystem.

You will mentor engineers, drive best practices in data engineering, and partner with stakeholders to translate business requirements into robust technical solutions, influencing the direction of the data platform.

Qualifications

• 5+ years' experience in Data Engineering, with demonstrated experience designing and delivering enterprise-scale data solutions.
• Strong expertise in modern data architecture, data modelling and cloud-based data platforms.
• Advanced SQL development and performance optimisation.
• Strong Python development skills; Extensive experience with Snowflake and modern data warehousing practices.
• Expert-level dbt development and data transformation experience.
• Strong experience with Azure cloud services and data technologies ETL/ELT design and implementation.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Lead the design and implementation of data architecture, models and integration patterns.
• Drive best practices for data engineering, including code quality, testing, documentation and observability.
• Optimise data platforms and solutions for performance, scalability, reliability and cost efficiency.
• Partner with architects, analysts, data scientists and business stakeholders to translate business requirements into robust technical solutions.
• Champion data quality, governance and security across our data ecosystem.
• Mentor and support other Data Engineers, fostering continuous improvement and knowledge sharing.
• Contribute to strategic planning and the ongoing evolution of TWG's data platform and capabilities.
• Troubleshoot complex data issues and provide technical leadership in resolving challenges.
• Stay ahead of industry trends and identify opportunities to improve our data engineering practices and tooling.

Skills

Data Engineering

SQL

Python

Snowflake

dbt

Azure

Data Warehousing

CI/CD

Git

Airflow

Tools

Snowflake

dbt

Airflow

Azure DevOps

Git

Job 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 isextensiveand underpins the successful running of ourgroupoperation. From our digital presence to our warehouse and order management systemsand everything inbetween, we’re a place Technologists want tobeand we’d like you to be a part of that.

Job Description

Sitting within our Data function and reporting to the Tech Team Lead: Data Engineering, you will play a pivotal role in shaping and evolving our enterprise data platform. As a Senior Data Engineer, you'll be responsible for designing, building and optimising scalable data solutions that enable trusted insights across the business.

You’ll bring deep technical expertise and a passion for data engineering, while also acting as a trusted advisor to stakeholders and a mentor to other engineers. Working across a modern cloud-based data ecosystem, you’ll help drive engineering best practices, influence technical direction, and ensure our data platforms continue to meet the evolving needs of the business.

Key Aspects Of Your Role

• Design, develop, and maintain scalable data pipelines and ETL processes
• Lead the design and implementation of data architecture, models and integration patterns
• Drive best practices for data engineering, including code quality, testing, documentation and observability
• Optimise data platforms and solutions for performance, scalability, reliability and cost efficiency
• Partner with architects, analysts, data scientists and business stakeholders to translate business requirements into robust technical solutions
• Champion data quality, governance and security across our data ecosystem
• Mentor and support other Data Engineers, fostering continuous improvement and knowledge sharing
• Contribute to strategic planning and the ongoing evolution of TWG's data platform and capabilities
• Troubleshoot complex data issues and provide technical leadership in resolving challenges
• Stay ahead of industry trends and identify opportunities to improve our data engineering practices and tooling

Qualifications

First and foremost, you're passionate about building modern, scalable data solutions that create meaningful business outcomes. You're equally comfortable getting into technical detail as you are engaging with stakeholders to understand business challenges and shape the right solution.

You’ll be a collaborative senior practitioner who enjoys mentoring others, influencing technical decisions and continuously improving the way data engineering is delivered.

We envisage you will bring the following to the role:

• 5+ years' experience in Data Engineering, with demonstrated experience designing and delivering enterprise-scale data solutions
• Strong expertise in modern data architecture, data modelling and cloud-based data platforms
• Advanced SQL development and performance optimisation
• Strong Python development skills
• Extensive experience with Snowflake and modern data warehousing practices
• Expert-level dbt development and data transformation experience
• Strong experience with Azure cloud services and data technologies 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!

• free car parking on-site
• EV charging
• birthday off
• great discounts across our brands
• excellent career opportunities within the business