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WM New Zealand

Data Engineer

WM New Zealand is hiring a Data Engineer in Auckland, New Zealand. Level rates it ; you can apply on WM New Zealand.

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Databricks.
  • Level classifies it as a mid-level role.
  • Level lists 34 other open roles at WM New Zealand.

AI in this role

databricks

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).

How we rate this

Data Engineer at WM New Zealand rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

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Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

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