At WM New Zealand, we're more than New Zealand's leading resource recovery, recycling, and waste management company. We're helping create a more sustainable future by leveraging technology, data, and innovation to drive meaningful business outcomes.
Job DescriptionAs our data landscape continues to evolve, we're looking for a Data Engineer to play a key role in designing, building, and optimising the data products and platforms that underpin our business.
This is an exciting opportunity for someone who enjoys solving complex problems, building scalable data solutions, and influencing how data is used across a large, operational organisation.
About the role
As a Data Engineer, you'll lead the design, development, and optimisation of data products and infrastructure across the organisation. You'll work closely with stakeholders, analysts, and our digital solutions team to deliver reliable, scalable, and high-performing data solutions that enable better decision-making and business performance.
This role offers a balance of technical, hands-on engineering, and strategic contribution, making it ideal for someone who enjoys both building and influencing.
What you'll be responsible for
- Designing, developing, and maintaining scalable data pipelines and data products
- Leading the implementation and optimisation of modern data architectures and platforms
- Ensuring data is reliable, secure, accessible, and fit for business use
- Collaborating with stakeholders to understand requirements and translate them into technical solutions
- Supporting and mentoring junior Data Engineers and contributing to technical capability across the team
- Driving continuous improvement in data engineering practices, standards, and governance
- Working closely with analytics, reporting, and AI teams to enable advanced insights and innovation
- Monitoring and optimising data performance, quality, and availability across systems
- Contributing to strategic data initiatives that support business growth and transformation
About you
You're a passionate and experienced Data Engineer who thrives on creating scalable solutions. You enjoy partnering with stakeholders, solving complex challenges, and helping organisations unlock the value of their data.
You'll bring:
- At least 2 years’ experience working with both cloud-based and on-premises data warehousing environments
- Strong expertise in building and maintaining modern data platforms and data pipelines
- Hands-on experience with technologies such as Snowflake, SQL, dbt, Data Factory, Databricks, or equivalent
- Strong understanding of data modelling, ETL/ELT processes, and data architecture principles
- Experience optimising data performance, quality, and governance practices
- The ability to communicate effectively with both technical and non-technical stakeholders
- A collaborative mindset and a passion for continuous improvement
- Experience mentoring or providing technical guidance to other engineers would be highly regarded
Why join WM New Zealand?
- Opportunity to work on meaningful projects that deliver real business impact
- Ongoing learning, development, and career progression opportunities
- Flexible working arrangements that support work-life balance
- Onsite café and parking for everyday convenience
At WM, we invest in our people - because they are our greatest asset.
Ready to make an impact?
If you're excited about building modern data solutions and want to be part of a team shaping the future of data at WM New Zealand, we'd love to hear from you.
Apply today. Applications will be reviewed as they are received, so we encourage early applications.
WM New Zealand is an equal opportunity employer committed to maintaining a safe and drug and alcohol-free workplace.
Applicants must be based in New Zealand and hold current NZ work rights (citizenship, residency, or valid work visa).
Skills Required
- At least 2 years' experience with both cloud-based and on-premises data warehousing environments.
- Experience building and maintaining modern data platforms and data pipelines.
- Hands-on experience with technologies such as Snowflake, SQL, dbt, Data Factory, Databricks (or equivalent).
- Strong understanding of data modelling, ETL/ELT processes, and data architecture principles.
- Experience optimising data performance, quality, and governance practices.
- Ability to communicate effectively with technical and non-technical stakeholders.
- Collaborative mindset and passion for continuous improvement.
- Experience mentoring or providing technical guidance to other engineers.
What We Do
WM New Zealand is New Zealand's leading resource recovery, recycling and waste, and environmental services provider, driven by our focus on safety, sustainability, and service and underpinned by innovation. We provide recycling and resource recovery services, solid waste management, liquid and hazardous waste collection, treatment and disposal. We design and operate state-of-the-art waste management and recycling facilities nationwide, including leading edge sustainable modern landfill and energy parks, material recovery facilities, transfer stations and liquid, hazardous and medical waste processing facilities. We understand that our biggest asset is our people and we’re committed to their safety and wellbeing. We’re a company where every day our people get to make a difference – whether this be through exploring recycling opportunities, looking at new ways to create energy from waste, or delivering a great customer service to building facilities that will last a lifetime. We work with a diverse range of customers, from residential homes and small businesses, councils, through to large multinational commercial and industrial clients that span almost every industry in New Zealand, and we are proud to offer a comprehensive range of services that can be tailored to meet the needs of our customers. Our focus is on the future, the possibilities it holds, and ultimately the protection of it.
