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Data Engineer

Waste Management Open · verified Oct 24, 2026
Hybrid Auckland Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Waste Management. Auckland · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationAuckland
WorkplaceHybrid
EmploymentFull-time
PostedOct 7, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain data pipelines and products that can scale across the organisation
  • Shape data architecture and platforms, then improve how they perform
  • Keep data dependable, secure and usable by monitoring quality, access and availability
  • Turn stakeholder needs into technical solutions with analysts and digital teams
  • Guide junior engineers and improve team practices, standards and governance

What you bring

  • At least two years working across cloud and on-premises data warehouse environments
  • Strong practical skills building and maintaining modern data platforms and pipelines
  • You understand data modelling, ETL/ELT and data architecture, and have improved performance, quality or governance
  • You can explain technical work clearly to both technical and non-technical stakeholders

Who this fits

This role suits a hands-on mid-level data engineer who also wants to shape technical direction and guide junior colleagues. The job is based in Auckland with hybrid working. Applicants must live in New Zealand and have current New Zealand work rights.

From the employer

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.

As 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).

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.